Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
will be in contact with other researchers in high-energy theoretical physics and string theory at LPTHE and in the Paris region who are working on related topics. Where to apply Website https
-
numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
-
, C.; Pineau, N.; Perrier, A. J. Chem. Theory Comput. 2020, 16 (11), 7017–7032 https://doi.org/10.1021/acs.jctc.0c00762 . (b) Villegas, O.; Serrano Martínez, M.; Le Bras, L.; Ottochian, A.; Pineau, N
-
programming language theory; experience with formalisation in Rocq; an interest in analysis and mathematics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7030-MARKER-001/Default.aspx
-
uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
-
count regime, joint gamma/neutrino studies of VHE data. The requited person will achieve these research studies within the H.E.S.S., CTAO or KM3NeT collaboration. - Gammapy developer (code, test
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will contribute to work on control theory
-
on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
-
, Applied Mathematics in Biology, or Bioinformatics. • Solid understanding of the basic concepts of evolutionary theory and population genetics. • Proven programming skills (SLiM or C++ highly desired
-
to identify and model the most efficient catalytic sites on NDs using advanced Density Functional Theory (DFT) calculations. The project seeks to revolutionize the design of ND-based catalysts by controlling