Subject: NA Digest, V. 21, # 23

NA Digest  Sunday, June 20, 2021  Volume 21 : Issue 23

Today's Editor:

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

Today's Topics:

        New Book, Metabolic Networks, Elementary Flux Modes, and ...
        European Finite Element Fair, France/HYBRID, Sep 2021
        Mathematics of Robotics, ONLINE, Sep 2021
        SIAM Imaging Science, Germany, Mar 2022
        Faculty Position, Data Science, Regis Univ, USA
        Postdoc Position, NA/Computational Mathematics, EPFL, Switzerland
        Postdoc Position, Numerics of SPDEs, Bielefeld Univ, Germany
        Postdoc Position, Sci ML in Materials Science, Sandia Labs, USA
        Contents, Intl J Mathematics and Computer Science, 16 (3)

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Submissions for NA Digest:
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From: Kris ONeill [log in to unmask]
Date: June 15, 2021
Subject: New Book, Metabolic Networks, Elementary Flux Modes, and
Polyhedral Cones

Metabolic Networks, Elementary Flux Modes, and Polyhedral Cones
by Isaac Klapper, Daniel B. Szyld, and Kai Zhao

This book presents a mathematical analysis of the relationship between
the cell biology idea of metabolic networks and the mathematical idea
of polyhedral cones, which have become important constructs in the
field of microbiology. Fundamental objects called elementary flux
modes (EFMs) can be described mathematically via convex cone concepts;
the fundamental algorithm of this relationship is the Double
Description method. While this method has an extended history in the
field of computational geometry, this monograph addresses its
relatively recent use in the context of cellular metabolism, providing
an easy-to-read introduction to a central topic of mathematical
systems biology.

SIAM Bookstore:
https://my.siam.org/Store/Product/viewproduct/?ProductId=37680911

2021 / viii + 125 pages / Softcover / 978-1-611976-52-6 / List $60.00
/ SIAM Member $42.00 / OT171

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From: Alexandre Ern [log in to unmask]
Date: June 17, 2021
Subject: European Finite Element Fair, France/HYBRID, Sep 2021

We are glad to announce that the 18th European Finite Element Fair
(originally scheduled on May 2020) will take place at INRIA Paris on
September 10-11, 2021.

The Fair will be organized in a hybrid format, with the possibility of
attending either in person or via zoom.

As for previous editions of the Fair, there is no registration fee,
and the number and duration of the talks will be adjusted based on the
number of participants willing to speak.

Registration via e-mail to [log in to unmask] is compulsory. More
details can be found at http://efef2020.inria.fr

We are looking forward to welcoming you in Paris for the Fair.


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From: Pamela Bye [log in to unmask]
Date: June 18, 2021
Subject: Mathematics of Robotics, ONLINE, Sep 2021

IMA Conference on the Mathematics of Robotics
Online Conference via Zoom
https://ima.org.uk/11468/ima-conference-on-mathematics-of-robotics/

The IMA Conference on the Mathematics of Robotics aims to bring
together researchers working on all areas of robotics which have a
significant Mathematical content. The idea is to highlight the
Mathematical depth and sophistication of techniques applicable to
Robotics and to foster cooperation between researchers working in
different areas of Robotics. This Conference has been organised in
cooperation with the Society for Industrial and Applied Mathematics
(SIAM).

Areas of interest include, but are not limited to:
Topology. Kinematics. Algebraic topology of configuration spaces of
robot mechanisms. Topological aspects of path planning and sensor
networks. Differential topology and singularity theory of robot
mechanism and moduli spaces.  Algebraic Geometry. Varieties generated
by linkages and constraints. Geometry of stiffness and inertia
matrices. Rigid-body motions. Computational approaches to algebraic
geometry.  Dynamical Systems and Control. Dynamics of robots and
mechanisms. Simulation of multi-body systems, e.g. swarm
robots. Geometric control of robots. Optimal control and other
optimisation problems.  Combinatorial and Stochastic Methods. Rigidity
of structures. Path planning algorithms. Modular robots.
Statistics. Stochastic control. Localisation. Navigation with
uncertainty. Statistical learning theory.  Cognitive
Robotics. Mathematical aspects of Artificial Intelligence,
Developmental Robotics and other Neuroscience based approaches.

For technical queries please contact Professor W. Holderbaum
([log in to unmask]).  For general conference queries please
contact the Conferences Team ([log in to unmask]).

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From: Robert Beinert [log in to unmask]
Date: June 14, 2021
Subject: SIAM Imaging Science, Germany, Mar 2022

The 2022 SIAM Conference on Imaging Science (IS22) will be held at the
Technische Universitat Berlin, Germany, March 22-25, 2022.

The interdisciplinary field of imaging science is experiencing
tremendous growth. New devices capable of imaging objects and
structures from nanoscale to the astronomical scale are continuously
being developed and improved, and as a result, the reach of science
and medicine has been extended in exciting and unexpected ways. The
impact of this technology has been to generate new challenges
associated with the problems of formation, acquisition, compression,
transmission, and analysis of images. By their very nature, these
challenges cut across the disciplines of physics, engineering,
mathematics, biology, medicine, statistics, and data science. While
the primary purpose of this conference is to focus on mathematical
issues, the other facets of imaging, such as biomedical, geophysical,
and engineering aspects, for example, will also play an important role.

Important Dates and Deadlines:
September 6, 2021 - submission for minisymposium proposals
September 20, 2021 - submission for contributed presentations &
                     minisymposium speaker abstracts
Late December 2021 - online registration opening

Further information are available at
https://www.siam.org/conferences/cm/conference/is22


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From: Douglas Hart [log in to unmask]
Date: June 13, 2021
Subject: Faculty Position, Data Science, Regis Univ, USA

The Anderson College of Business and Computing at Regis University
invites applications for a full-time 12-month appointment, with summer
research release, at the level of Assistant Professor. The successful
candidate must be willing to teach adult learners in an accelerated
online and classroom setting as well as traditional students in a
traditional daytime class setting. Additionally, she/he must assist in
the management of curriculum, course content, computer labs and
technical infrastructure, and the overall operation of the Data
Sciences department in the Anderson College of Business and
Computing. Applicants must exhibit excellent communication skills and
enthusiasm for working with undergraduate and graduate students. The
ideal candidate will also have experience in these areas: data
science, statistics, and applied mathematics; data engineering;
computer science; advising, mentoring, and teaching students; and
academic program management.

Apply at
https://regis.wd5.myworkdayjobs.com/en-US/RegisUniversity/job/Northwest-Denver-
Campus/Assistant-Professor---Data-Science_R001694

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From: Assyr Abdulle [log in to unmask]
Date: June 13, 2021
Subject: Postdoc Position, NA/Computational Mathematics, EPFL, Switzerland

A postdoc in the group of Assyr Abdulle (Chair of Computational
Mathematics and Numerical Analysis, ANMC) is available to work within
the research areas of the Chair: multiscale methods for deterministic
and stochastic differential equations, Bayesian inverse problems,
homogenization methods, parameter inference for stochastic problems,
machine learning methods for multiscale dynamics (see
www.epfl.ch/labs/anmc/ for recent research developments). Expertise in
one of the above area with a strong theoretical background is
expected.  The position is available immediately for 12 months with
possibilities of renewal. Application should be sent by email to
[log in to unmask], including the names and email addresses of
three recommendation letter writers (but letters should NOT be sent in
the first instance).


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From: Lubomir Banas [log in to unmask]
Date: June 15, 2021
Subject: Postdoc Position, Numerics of SPDEs, Bielefeld Univ, Germany

We are inviting applications for a postdoctoral position in numerical
analysis of stochastic partial differential equations in the
Collaborative Research Centre 1283 "Taming uncertainty and profiting
from randomness and low regularity in analysis, stochastics and their
applications" (https://www.sfb1283.uni-bielefeld.de).

Please send your applications to
[log in to unmask] Applications from qualified candidates
will be accepted until the position is filled.

The full job announcement and the application procedure can be found at:
https://uni-bielefeld.hr4you.org/job/view/471/research-assistant-postdoc?page_lang=en

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From: Marta D'Elia [log in to unmask]
Date: June 16, 2021
Subject: Postdoc Position, Sci ML in Materials Science, Sandia Labs, USA

A postdoctoral position is available at Sandia National Laboratories
in Livermore, California, starting in October 2021. We are looking for
creative problem solvers with knowledge of machine learning, deep
learning, and, more generally, with experience in scientific
computing, evidenced by publications and codes. Knowledge and
experience in Bayesian statistics and uncertainty quantification are
also desirable. The work involves the design of new machine learning
algorithms for the prediction of material structure and properties,
for given physical vapor deposition (PVD) process conditions. It also
includes the design and implementation of efficient optimal
experimental design methods, in both deterministic and Bayesian
settings. The position will involve extensive interaction with a large
and diverse project team, code development and analysis, and
demonstration of the developed technology in multiple
applications. This project is focused on discovering new resilient
materials and manufacturing processes via an
artificial-intelligence-guided approach.

Qualifications We Require: PhD in the applied mathematics,
computational science or engineering.  Knowledge and expertise in
machine learning and neural networks.  Knowledge and expertise in
computational science and code development. Qualifications We Desire:
Knowledge of optimization, Bayesian statistics, and uncertainty
quantification.  Expertise in Python and C++.  Experience in
performing collaborative research.  Excellent communication skills.

To apply for this job, please, go to the Sandia's career page:
https://www.sandia.gov/careers/career-possibilities/students-and-postdocs/internships-
co-ops/postdoctoral-positions/
and click on "view all opening", then, in the search bar, please
select the position below.
Job Opening ID:  676866
Posting Title: Postdoctoral Appointee - Machine Learning in Material Science.

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From: Badih Ghusayni [log in to unmask]
Date: June 15, 2021
Subject: Contents, Intl J Mathematics and Computer Science, 16 (3)

The following papers can be downloaded freely from the International
Journal of Mathematics and Computer Science via
http://ijmcs.future-in-tech.net/Volume16.3.htm

1) Andy Chuin Liang Kang, Miin Huey Ang, Azhana Ahmad, Zhen Chuan Ng,
Complete Identification of Generators and Check Elements of Zero
Divisor Codes over Cyclic Group Rings.

2) Moch Fandi Ansori, Kuntjoro Adji Sidarto, Novriana Sumarti,
Dynamics of Bank's Balance Sheet: A System of Deterministic and
Stochastic Differential Equations Approach.

3) Intan Muchtadi-Alamsyah, Yann Palu, The Relation between tau_n-
Tilting Modules and n-term Silting Complexes.

4) Rikayanti, Edy Tri Baskoro, Algorithm for Computing the Total
Vertex Irregularity Strength of Some Cubic Graphs.

5) Shantini Sekaran, Siok Kun Sek, Examining The Asymmetric Effects of
Oil Price Changes of Global Commodity Prices.

6) Sharifah Aishah Syed Ali, Fazilatulaili Ali, Muhamad Lazim Talib,
Wan Rozita Wan Din, Valid inequalities for the capacitated lot-sizing
problem in a hybrid manufacturing and remanufacturing system.

7) Adamu Abubakar Umar, Michael Boon Chong Khoo, Sajal Saha, Zhi Lin
Chong, Auxiliary Information Based Variable Sampling Interval EWMA
Chart for Process Mean Using Expected Average Time to Signal.

8) Abhineshwary Bhalraj, Amirah Azmi, Mohd Hafiz Mohd, Analytical and
Numerical Solutions of Leptospirosis Model.

9) Mohd. Asyraf Mansor, Saratha Sathasivam, Optimal Performance
Evaluation Metrics For Satisfiability Logic Representation In Discrete
Hopfield Neural Network.

10) Kunlapat Sansuk, Petarpa Boonserm, Tritos Ngampitipan, Greybody
factors for various black holes in perfect fluid spheres.

11) Xin Yi Kh'ng, Su Yean Teh, Hock Lye Koh, Modeling Sea Level Rise
Impact on Coot Bay Hammock, Florida Everglades.

12) Nur Tasnem Jaaffar, Zanariah Abdul Majid, Norazak Senu, Solving
the singularly perturbation problems of delay differential equations
numerically.

13) Yao Liang Chung, Maisarah Haji Mohd, Shamani Supramaniam, Radius
Estimates for Some Subclasses of Analytic Functions.

14) Mohd Saiful bin Husain, Norlida Mohd Noor, Fauhatuz Zahroh Shaik
Abdullah, Application of Logit-Loglinear Model for Tuberculosis
Disease.

15) Helena Margaretha, Arnold Reynaldi, Felicia Sofian, Lucy Jap, Kie
Van Ivanky Saputra, Dynamical Model of Dengue Primary and Secondary
Infections with An Application to Microinsurance.

16) Arrianne Crystal Velasco, Marion Darbas, Renier Mendoza, Numerical
Resolution of the Electrical Impedance Tomography Inverse Problem with
Fixed Inclusions.


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