Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Northeastern University
- Brookhaven National Laboratory
- Forschungszentrum Jülich
- Gran Sasso Science Institute
- Lawrence Berkeley National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Okinawa Institute of Science and Technology
- Umeå universitet stipendiemodul
- University of Amsterdam (UvA)
- University of Oregon
- 1 more »
- « less
-
Field
-
geometry, connecting algebraic combinatorics, algebraic geometry, and high-energy physics . We invite applications for postdoctoral positions to join this interdisciplinary program. Successful candidates
-
foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks (pytorch), 3) problem solving skills, 4) familiarity
-
in high performance scientific computing, multi-linear algebra and tensor contractions for heterogeneous exascale architectures. The successful candidate will join the NumPEx PEPR to reinforce
-
development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
-
standard subjects like calculus or linear algebra, to other more advanced subjects, depending on the needs of the department and the interest and expertise of the instructor. This is a full-time (1.0 FTE), 9
-
linear algebra, numerical methods for PDEs and dynamical systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations
-
=false , https://link.springer.com/article/10.1186/s13059-025-03692-6 , https://link.springer.com/article/10.1186/s13059-023-03064-y ), Linear Mixed Models and GWAS. ● Familiarize with the sequencing
-
between INRIA and LJLL which focuses on high performance scientific computing. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7598-PIETOU-006/Candidater.aspx Requirements Research
-
strong mathematical skills (e.g., probability theory, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research
-
linear algebra, and algorithm design. Proficiency in Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability