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NADIGEST  January 2022, Week 3

NADIGEST January 2022, Week 3

Subject:

NA Digest, V. 22, # 3

From:

NA Digest Editor <[log in to unmask]>

Reply-To:

NA-Digest <[log in to unmask]>

Date:

Sun, 16 Jan 2022 09:39:53 -0700

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (527 lines)

Subject: NA Digest, V. 22, # 3

NA Digest  Sunday, January 16, 2022  Volume 22 : Issue 3

Today's Editor:

        Daniel M. Dunlavy
        Sandia National Labs
        [log in to unmask]

Today's Topics:

        New Book, Inverse Problems with Applications in Science and Engineering
        Mathematics of Deep Learning, UK/HYBRID, Feb-Mar 2022
        Data Science and PDE Analysis; Foundational ML, Germany, Jun 2022
        Random Matrix Theory and NLA, USA/HYBRID, Jun 2022
        Department Chair and Professor Position, Idaho State Univ
        Tenure Track Position, Gran Sasso Science Institute - Italy
        Research Fellowship Position, AI for Imaging, UCL, UK
        Postdoc Position, Computational Maths, Imperial College London
        Postdoc Position, Numerical Analysis, Oregon State Univ
        Postdoc Position, Univ of Pau, France
        PhD Position, Mathematical Image and Data Processing, TU Berlin
        PhD Positions, Applied Mathematics and Statistics, Sweden
        PhD Positions, ML and Quantum Computing, TU Delft
        PhD Positions, Mathematical Biology, Kassel Univ
        CFP, Special Issue on Nonlocal Codes, JPER
        Contents, Computational Mathematics, 40 (1)

Subscribe, unsubscribe, change address, or for na-digest archives:
        http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:
        http://icl.utk.edu/na-digest/

-------------------------------------------------------

From: Daniel Lesnic [log in to unmask]
Date: January 11, 2022
Subject: New Book, Inverse Problems with Applications in Science and Engineering

A new book in inverse problems has been published.  Lesnic, D. (2021)
Inverse Problems with Applications in Science and Engineering}, CRC
Press, Taylor & Francis Group, Abingdon, UK.  ISBN: 978-0-367-00198-8
(hardback), ISBN: 978-1-032-12538-1 (paper back), ISBN:
978-0-429-40062-9 (e-back). DOI: 10.201/9780429400629.

The book examines thoroughly some representative classes of inverse
and improperly-posed problems for partial differential equations
governing a wide range of physical phenomena. The natural practical
applications arise in heat transfer, electrostatics, porous media,
fluids and acoustics.  Intended readers of the book include
postgraduate students and post- doctoral fellows from
qualitatively-oriented fields of mathematical sciences and
engineering, as well as scientists and researchers from either
academic and industrial settings, where inverse problems naturally
occur.

-------------------------------------------------------

From: Marcello Carioni [log in to unmask]
Date: January 14, 2022
Subject: Mathematics of Deep Learning, UK/HYBRID, Feb-Mar 2022

We are happy to announce the London Mathematical Society Invited
Lecture Series on the Mathematics of Deep Learning. The event will
take place from 28 February to 4 March 2022 at the Isaac Newton
Institute in Cambridge, UK in a hybrid format.

An introductory lecture series by Professor Gitta Kutyniok (LMU,
Munich) on the Mathematics of Deep Learning is accompanied by a
workshop on selected topics of deep learning with lectures given by
Professors Peter Bartlett, Weinan E, Klaus Robert Muller and Rebecca
Willet. There will be the opportunity for interactive sessions and the
option to present a poster.

For more information about the programme please visit
https://sites.google.com/view/lmslecturesmaths4dl/home. To register
please follow the link in the event webpage
https://gateway.newton.ac.uk/event/tgm109 and please do so by 31st
January 2022 to secure your place.

We hope to be able to offer financial support for early-career
researchers.

-------------------------------------------------------

From: Leon Bungert [log in to unmask]
Date: January 14, 2022
Subject: Data Science and PDE Analysis; Foundational ML, Germany, Jun 2022

We would like to draw your attention to the HCM Workshop Synergies
between Data Science and PDE Analysis to be held at the University of
Bonn in Germany on 13-17 June 2022.

The current success story of data science calls for interpretable
machine learning methods. For instance, in the context of sampling,
graph-based learning or neural networks, PDE-based methods have
proven to be both efficient and apt for mathematical analysis. This
workshop brings together experts and young researchers in these two
vibrant fields and aims to create a stimulating environment for
exchanging scientific ideas and establishing new collaborations.

An application is mandatory for participation. Deadline for
applications is February 15th, 2022 (CET). We also offer some spots
for contributed talks. A small number of additional fully funded
places are available for researchers facing financial burdens, such as
researchers from developing countries.

Please find further information at the website:
https://www.hcm.uni-bonn.de/de/veranstaltungen/eventpages/2022/syn-2022/

This workshop is organized in tandem with the Hausdorff School
Foundational Methods in Machine Learning to be held at the University
of Bonn in Germany on 6-10 June 2022.

The school will consist of special topics courses from the following
lecturers: Weinan E (Princeton University, USA); Carola Schoenlieb (
Jesus College Cambridge, UK); Dejan Slepcev (Carnegie Mellon
University, USA); Rachel Ward (The University of Texas, USA).

An application is mandatory for participation. Deadline for
applications is February 6th, 2022 (CET). A small number of additional
fully funded places are available for students and young researchers
facing financial burdens, such as researchers from developing
countries.

Please find further information at the website:
https://www.hcm.uni-bonn.de/events/eventpages/hausdorff-school/hausdorff-schools-2022/foundationalmethods2022/

-------------------------------------------------------

From: Tom Trogdon [log in to unmask]
Date: January 13, 2022
Subject: Random Matrix Theory and NLA, USA/HYBRID, Jun 2022

I am pleased to announce the Conference on Random Matrix Theory and
Numerical Linear Algebra (RMT + NLA) to be held at the University of
Washington, Seattle, June 20-24, 2022.  We will offer a hybrid format,
so participants may connect remotely.

The conference aims to bring together researchers from areas such as
random matrix theory, numerical linear algebra, randomized algorithms,
high-dimensional statistics, optimization and theoretical computer
science to discuss recent developments and cutting-edge techniques.

The conference will feature two tutorials/minicourses from Ioana
Dumitriu (UCSD) and Sean O'Rourke (CU Boulder).  The rest of the
conference will consist of research talks and a poster session.

More information, including registration details, can be found at the
conference website:
http://faculty.washington.edu/trogdon/RMT+NLA/index.html

We do have limited travel funding available that will be used
primarily to support junior researchers and an application for funding
can be submitted through the conference webpage with a deadline of
February 4, 2022.

We are also seeking applications to present a poster at the poster
session.

-------------------------------------------------------

From: Yunrong Zhu [log in to unmask]
Date: January 14, 2022
Subject: Department Chair and Professor Position, Idaho State Univ

The Department of Mathematics and Statistics at Idaho State University
(ISU) is pleased to announce a search for a tenured associate or full
professor to serve as Department Chair. Competitive applicants will
hold a doctorate in mathematics, statistics, or a related field, and
will possess an outstanding and productive record of scholarly
research, teaching, and service. Reporting to the Dean of the College
of Science and Engineering (CoSE), the chair is expected to have
leadership skills that can inspire and unite departmental faculty,
staff, and students. These skills include strategic plan formulation
and implementation, effective interpersonal communication, thoughtful
leadership of personnel, oversight of the department's curriculum, and
responsible management of departmental budgets. The new department
chair will work within a culture of mutual trust, respect,
accountability and collegiality, and will embrace ISU's commitment to
diversity, equity and inclusion.

The Department is on the threshold of significant change. The new
department chair will have the opportunity to work with department
faculty and the Dean to hire a number of new faculty members, and to
chart the future of the department. The Dean envisions a modernized,
student- centered department that works closely with other departments
in CoSE and throughout ISU to educate students, collaborate on
scholarly research projects, and seek extramural funding that supports
innovative pedagogy.  In addition to departmental degree programs, the
department provides critical instruction for service courses in
support of science and engineering programs and general education
courses serving students from the broader university community.

You must submit the following through
https://isu.csod.com/ux/ats/careersite/5/home/requisition/1430?c=isu
to be fully considered: 1. Curriculum vitae; 2. A statement describing
interest and qualifications for the position (no more than 3 pages);
3. A brief statement describing educational philosophy; 4. A brief
description (2-3 pages) of research accomplishments or activities in
support of research initiatives; 5. Names and current contact
information of four (4) professional references able to comment on the
candidate's leadership experience (references will not be contacted
without notification of the candidate).

This position will remain open until it is filled, however, priority
will be given to applications received by January 31, 2022. Salary
will be commensurate with education and experience. Benefits include
comprehensive health, dental, and vision; life insurance; disability
plan; employee assistance program (EAP); excellent retirement options
and company contribution; and generous paid time off/sick leave
accrual. All offers of employment are conditional pending the
successful completion of a background investigation, provided by
HireRight.


-------------------------------------------------------

From: Nicola Guglielmi [log in to unmask]
Date: January 12, 2022
Subject: Tenure Track Position, Gran Sasso Science Institute - Italy

The Numerical Analysis group of the Gran Sasso Science Institute
(GSSI) invites expressions of interest for a faculty position at the
Assistant Professor level (Tenure Track - RTDB) from highly qualified
scholars worldwide.

The GSSI Numerical Analysis group hosts scientists carrying out
interdisciplinary research on a variety of subjects, ranging from
Matrix Analysis, Numerical ODEs, Numerical PDEs, Dynamical systems,
Graph Theory, Numerical Linear Algebra, Computational Network Science
and Mathematics of Machine Learning.  The GSSI is an International
School of Advanced Doctoral Studies, with a prominent program of
graduate courses. Located in the city of L'Aquila, in the heart of the
Apennine Mountains east of Rome, the institute offers a stimulating
environment with numerous PhD students and postdoctoral researchers
selected internationally every year.  English is the official language
for all the activities at the institute (teaching, seminars, tutoring,
etc.).  About 40 PhD Students in Applied Mathematics from all over the
world are at GSSI at any given time, and part of the duties of the
Faculty is to provide teaching and supervision of their research
activity.  Interdisciplinary projects aimed at increasing the
connections with other PhD courses at GSSI within the Math Division as
well as the other areas (physics, computer science and regional
economics) are encouraged.

The GSSI plans to announce one tenure-track position in early 2022.

For detailed informations on the position please visit the webpage
https://www.gssi.it/communication/announcements/item/16186-expression-of-interest-tenure-track-assistant-professor-in-numerical-analysis-rtdb-in-the-mathematics-area-at-gssi

-------------------------------------------------------

From: Marta Betcke [log in to unmask]
Date: January 12, 2022
Subject: Research Fellowship Position, AI for Imaging, UCL, UK

We would like to bring to your attention Research Fellowship in
Artificial Intelligence for Imaging at the Department of Computer
Science at UCL.  The position is funded by Learned Exascale
Computational Imaging (LEXCI) programme for the first two years with
an option of subsequent employment as a staff scientist at UCL
Advanced Research Computing (ARC) Centre.  The goal of LEXCI is to
develop a new paradigm of exascale computational imaging, integrating
hybrid model and data based approaches with uncertainty quantification
at large scale and in distributed environments. During the project
lifetime the team will focus on applications to imaging from
observations of the next-generation of radio interferometric
telescopes and imaging of neuronal pathways in the human brain through
diffusion MRI.  The successful candidate will be working with Dr Marta
Betcke and focus in particular on numerical methods development and
algorithmic challenges in the context of big data and large scale,
distributed hybrid architectures. They will also collaborate with
Research Software Engineers in LEXCI team on deployment on modern and
future high-performance computing infrastructure and with application
domain specialists on knowledge transfer (astronomy, medical imaging
and beyond).

This post is available to start as soon as possible but not later than
September 2022 and is funded for 24 months in the first instance with
the option of transitioning to an open-ended appointment as a staff
scientist within UCL Advanced Research Computing (ARC) Centre at the
end of this period, subject to satisfactory performance evaluation.

Please direct informal enquiries at Marta Betcke ([log in to unmask]).

Further information and the application link (submission deadline 21
February 2022) are available at
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTg4MTE3MCZ2dF90ZW1wbGF0ZT05NjUmb3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZicmFuZF9pZD0wJmpvYl9yZWZfY29kZT0xODgxMTcwJnBvc3RpbmdfY29kZT0yMjQ=

-------------------------------------------------------

From: Prof Colin Cotter [log in to unmask]
Date: January 13, 2022
Subject: Postdoc Position, Computational Maths, Imperial College London

Within the APinTA-PDEs part of the ExCALIBUR programme in the UK, I am
looking to recruit a postdoctoral research associate on a 26 month
contract starting 1st April 2021. The successful candidate will
design, implement and benchmark time-parallel algorithms for
geophysical fluid dynamics, based around the "Paradiag"
diagonalisation technique. This development will be centred around the
Firedrake finite element code generation system. Designing robust
preconditioners for the block systems that arise in this framework
will be an important part of the work.

The application deadline is 26th January, and the application page is
here:
https://www.imperial.ac.uk/jobs/description/NAT01069/research-associate-computational-mathematics

Please email [log in to unmask] for further information.

-------------------------------------------------------

From: Malgorzata Peszynska, Oregon State University [log in to unmask]
Date: January 14, 2022
Subject: Postdoc Position, Numerical Analysis, Oregon State Univ

Oregon State University invites applications for two full-time
12-month Postdoctoral Scholar positions in Mathematics beginning
September 16, 2022. The area of research for one position is Numerical
Analysis and the other is for Algebra/Number Theory. Applicants should
have a PhD in Mathematics or a related field by the anticipated
starting date and received no earlier than September 2017. Priority
will be given to candidates that complete their application by
February 4, 2022.

For details about the position, and how to apply, please see
https://www.mathjobs.org/jobs?joblist-449-19387


-------------------------------------------------------

From: Amaziane [log in to unmask]
Date: January 11, 2022
Subject: Postdoc Position, Univ of Pau, France

We are looking for a computational scientist, with an applied
mathematics, Fluid Physics/Mechanics or computational engineering
background, for the development of a code in C++ targeted for HPC
platforms.  Subject: Development of a code for numerical simulation of
THMC Thermal-Hydrologic-Mechanical-Chemical processes in porous media.
Further details of the position and the application procedure can be
found at the following link:
https://lma-umr5142.univ-pau.fr/fr/vie-du-laboratoire/recrutement/post-doctorat.html

-------------------------------------------------------

From: Robert Beinert [log in to unmask]
Date: January 13, 2022
Subject: PhD Position, Mathematical Image and Data Processing, TU Berlin

The Institute of Mathematics at the Technische Universitat Berlin is
looking for a PhD candidate (full-time for a period of 5 years, salary
grade E13 TV-L Berliner Hochschulen, part-time employment may be
possible).

Working field: Research in the field of applied analysis with focus on
mathematical image and data processing, in particular large-scale in
imaging, invertible neural networks, stochastic methods in nonconvex,
nonsmooth optimization.  Teaching duties 4 SWS in case of full-time
employment.

Requirements: Successfully completed university degree (Master, Diplom
or equivalent) in mathematics.  Excellent knowledge in functional
analysis, nonlinear optimization, stochastics and machine learning.
Practical experience in software development in Python and deep
learning.  Very good command of German and English.

For further information and application please visit the official
job-webpage of the TU Berlin:
https://stellenticket.de/117100/TUB/?lang=en

-------------------------------------------------------

From: Annika Lang [log in to unmask]
Date: January 13, 2022
Subject: PhD Positions, Applied Mathematics and Statistics, Sweden

At the Division for Applied Mathematics and Statistics we are
currently recruiting three new PhD students to start in August 2022:

1) PhD position in Applied Mathematics and Statistics
Application deadline: February 25
Starting date: August 15
More information and link to the application system:
https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=10102

2) PhD position in mathematical optimization and artificial
intelligence
Application deadline: February 25
Starting date: August 15
More information and link to the application system:
https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=10140

3) PhD position in Applied Mathematics
Application deadline: February 26
Starting date: August 15
More information and link to the application system:
https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=23545

-------------------------------------------------------

From: Matthias Moller [log in to unmask]
Date: January 14, 2022
Subject: PhD Positions, ML and Quantum Computing, TU Delft

4 fully-funded PhD positions are available at Delft University of
Technology, The Netherlands, under the joint supervision of
researchers from the Faculty of Aerospace Engineering and the Faculty
of Electrical Engineering, Mathematics and Computer Science. We will
explore the exciting interdisciplinary areas of Quantum Computing and
Machine Learning with aerospace applications on composites
optimization and materials radiation modelling.

2 PhDs will be focusing on aerospace applications with ML and QC:
- Optimization of Composite Laminates (https://lnkd.in/dEbxDK5S).
- Modelling of the Interaction of High-Energy Radiation and Space
  Materials (https://lnkd.in/dunJwR3R).

2 PhDs will be focusing on algorithms development on ML and QC:
- Iterative Hybrid Optimization Algorithm (https://lnkd.in/dJaWaJmc).
- Learning Surrogate Modelling (https://lnkd.in/dwXNpuHu).

Deadline for application is 1 Feb 2022. Please apply online through
the TU Delft portal.

-------------------------------------------------------

From: Werner Seiler [log in to unmask]
Date: January 11, 2022
Subject: PhD Positions, Mathematical Biology, Kassel Univ

The University of Kassel establishes the interdisciplinary Research
Training Group (RTG) "Biological Clocks on Multiple Time Scales"
(http://www.uni-kassel.de/go/multiscale_clocks), which is funded by
the German Research Foundation from 1. April 2022 on. The RTG aims at
investigating the principles of timekeeping in living organisms,
enabling to orchestrate periodic processes with very different
frequencies ranging from infradian over circadian to ultradian
rhythms. The unique approach is to combine the expertise of
biologists, physicists, chemists, mathematicians, and engineers to
advance the understanding of biological clocks. The RTG comprises 13
projects, two of which are of a more mathematical nature: P9: Models &
simulations for new insights into physiology of clocks and ways of
adapting it (PI: Prof. Elfriede Friedmann) and P11: Model reduction
via symmetries and conservation laws for systems on multiple time
scales (PI: Prof. Werner M. Seiler). For these projects, we seek
outstanding research assistants with a master degree in mathematics or
in a closely related field. Advantageous are experiences in dynamical
systems, partial differential equations, finite element methods, Lie
symmetries, singular perturbation theory or programming. More details
can be found at
https://www.uni-kassel.de/forschung/multiscale-clocks/open-positions-apply-now.

-------------------------------------------------------

From: Marta D'Elia [log in to unmask]
Date: January 14, 2022
Subject: CFP, Special Issue on Nonlocal Codes, JPER

It is our pleasure to announce that the submission to the special
issue on the Journal of Peridynamics and Nonlocal Modeling titled
"Nonlocal Codes" is now open!

The special issue will provide a permanent record of nonlocal codes
that are being made available to the community, including (but not
limited to) those discussed at the recent One Nonlocal World workshop
on nonlocal software. The special issue will give users of the codes a
peer-reviewed reference to cite in their own future papers. The
articles for the special issue should contain basic information about
the codes and an example problem but are not required to provide an
in-depth treatment of the method. All types of discretizations and
methods are acceptable for submission (if you're in doubt, please,
reach out by replying to this email).

To submit a manuscript, go to the JPER website
https://www.springer.com/journal/42102 and select "Submit manuscript"
on the right. It is important to indicate that you are planning to
contribute to this specific special issue. To do so, during the
submission process, once you reach the tab "additional information",
reply "yes" to the question "Are you submitting to a special issue?"
and then select "Nonlocal Codes" among the options.

The submission deadline is May 31st 2022.

Marta D'Elia and Stewart Silling, Sandia National Labs.

-------------------------------------------------------

From: Yonghui Yu [log in to unmask]
Date: January 14, 2022
Subject: Contents, Computational Mathematics, 40 (1)

Journal of Computational Mathematics, Volume 40 (2022), issue 1

CONTENTS

Theoretical Analyses on Discrete Formulae of Directional Differentials
in the Finite Point Method, Guixia Lv and Longjun Shen

A Finite Element Algorithm For Nematic Liquid Crystal Flow Based On
The Gauge-Uzawa Method, Pengzhan Huang, Yinnian He and Ting Li

Metrically Regular Mapping and Its Utilization to Convergence Analysis
of a Restricted Inexact Newton-type Method, Mohammed Harunor Rashid

Long-time Oscillatory Energy Conservation of Total Energy-preserving
Methods for Highly Oscillatory Hamiltonian Systems, Bin Wang and
Xinyuan Wu

Data-driven Tight Frame Construction for Impulsive Noise Removal, Yang
Chen and Chunlin Wu

Adaptive and Optimal Point-wise Estimations for Densities in GARCH-
type Model by Wavelets, Cong Wu, Jinru Wang and Xiaochen Zeng

Unconditionally Optimal Error Estimates of the Bilinear-constant
Scheme for Time-dependent Navier-Stokes Equations, Huaijun Yang and
Dongyang Shi

-------------------------------------------------------
End of Digest
**************************

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April 2018, Week 1
March 2018, Week 4
March 2018, Week 3
March 2018, Week 2
March 2018, Week 1
February 2018, Week 4
February 2018, Week 3
February 2018, Week 2
February 2018, Week 1
January 2018, Week 4
January 2018, Week 3
January 2018, Week 2
January 2018, Week 1
December 2017, Week 5
December 2017, Week 4
December 2017, Week 3
December 2017, Week 2
November 2017, Week 4
November 2017, Week 1
October 2017, Week 4
October 2017, Week 3
October 2017, Week 1
September 2017, Week 4
September 2017, Week 3
September 2017, Week 2
September 2017, Week 1
August 2017, Week 4
August 2017, Week 3
July 2017, Week 2
July 2017, Week 1
June 2017, Week 4
June 2017, Week 2
June 2017, Week 1
May 2017, Week 4
May 2017, Week 3
May 2017, Week 2
May 2017, Week 1
April 2017, Week 4
March 2017, Week 4
March 2017, Week 2
March 2017, Week 1
February 2017, Week 4
February 2017, Week 2
February 2017, Week 1
January 2017, Week 3
January 2017, Week 2
December 2016, Week 5
December 2016, Week 3
December 2016, Week 2
December 2016, Week 1
November 2016, Week 3
November 2016, Week 2
November 2016, Week 1
October 2016, Week 4
October 2016, Week 3
October 2016, Week 2
October 2016, Week 1
September 2016, Week 4
September 2016, Week 3
September 2016, Week 2
September 2016, Week 1
August 2016, Week 5
August 2016, Week 4
August 2016, Week 2
August 2016, Week 1
July 2016, Week 4
July 2016, Week 3
July 2016, Week 1
June 2016, Week 4
June 2016, Week 3
June 2016, Week 1
May 2016, Week 5
May 2016, Week 4
May 2016, Week 3
May 2016, Week 2
May 2016, Week 1
April 2016, Week 4
April 2016, Week 3
April 2016, Week 2
April 2016, Week 1
March 2016, Week 5
March 2016, Week 4
March 2016, Week 2
March 2016, Week 1
February 2016, Week 5
February 2016, Week 3
February 2016, Week 1
January 2016, Week 5
January 2016, Week 4
January 2016, Week 3
January 2016, Week 2
January 2016, Week 1
December 2015, Week 5
December 2015, Week 2
November 2015, Week 5
November 2015, Week 4
November 2015, Week 3
November 2015, Week 1
October 2015, Week 4
October 2015, Week 3
October 2015, Week 2
September 2015, Week 5
September 2015, Week 4
September 2015, Week 2
September 2015, Week 1
August 2015, Week 4
August 2015, Week 2
July 2015, Week 5
July 2015, Week 3
July 2015, Week 2
June 2015, Week 5
June 2015, Week 4
June 2015, Week 3
June 2015, Week 2
June 2015, Week 1
May 2015, Week 4
May 2015, Week 3
May 2015, Week 2
May 2015, Week 1
April 2015, Week 4
April 2015, Week 2
April 2015, Week 1
March 2015, Week 5
March 2015, Week 4
March 2015, Week 3
March 2015, Week 2
March 2015, Week 1
February 2015, Week 4
February 2015, Week 3
February 2015, Week 2
February 2015, Week 1
January 2015, Week 4
January 2015, Week 3
January 2015, Week 1
December 2014, Week 5
December 2014, Week 4
December 2014, Week 3
December 2014, Week 2
December 2014, Week 1
November 2014, Week 4
November 2014, Week 3
November 2014, Week 2
October 2014, Week 5
October 2014, Week 4
October 2014, Week 3
October 2014, Week 2
October 2014, Week 1
September 2014, Week 4
September 2014, Week 3
September 2014, Week 2
September 2014, Week 1
August 2014, Week 4
August 2014, Week 3
August 2014, Week 2
August 2014, Week 1
July 2014, Week 5
July 2014, Week 3
July 2014, Week 2
June 2014, Week 5
June 2014, Week 4
June 2014, Week 3
June 2014, Week 2
June 2014, Week 1
May 2014, Week 4
May 2014, Week 3
May 2014, Week 2
May 2014, Week 1
April 2014, Week 4
April 2014, Week 3
April 2014, Week 2
April 2014, Week 1
March 2014, Week 5
March 2014, Week 4
March 2014, Week 3
February 2014, Week 3
February 2014, Week 1
January 2014, Week 3
January 2014, Week 1
December 2013, Week 3
December 2013, Week 2
December 2013, Week 1
November 2013, Week 4
November 2013, Week 3
November 2013, Week 2
November 2013, Week 1
October 2013, Week 4
October 2013, Week 2
October 2013, Week 1
September 2013, Week 4
September 2013, Week 3
September 2013, Week 2
August 2013, Week 4
August 2013, Week 3
July 2013, Week 5

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