46 coding-"Prof"-"UCL"-"Embry-Riddle-Aeronautical-University"-"Prof" positions at CNRS in France
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chemistry in 2D PIC/MCC code and participate in the code validation by comparing simulation results with experimental data provided by COMHET collaborators working on iodine-fueled HETs. - Participate in
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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amino acids, encoded by small open reading frames (smORFs). Until recently, these smORFs were thought to be non-coding because of their size. However, thousands of translated smORFs have now been
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-tested code. * Coordinate cross-site integration within an ANR project consortium (Lyon – Marseille -Strasbourg) involving laminar MEG (Lyon), laminar NHP electrophysiology (Marseille), and computational
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candidate will use the 'Phase_Field' code developed within the GPM UMR 6634 modeling team. - Writing of scientific publications. GPM (Materials Physics Group, UMR CNRS 6634) is organized in 5 departments
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-dependent approaches. -Proficiency in high-performance computing (MPI/OpenMP/GPU) and scientific code development is a plus. -Interest in attoscience and/or matter–antimatter physics is an asset. -Ability
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formation. For reasons of computing time, the detailed mechanisms that describe this complex chemistry must be reduced before being used in CFD codes (Fiorina et al., 2015). An interesting method is the
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pumping Expected skills: - degree in Physics and Master's degree, awarded at the latest by the starting - an excellent academic record and strong motivation - good practical and coding skills, a commitment
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galaxies. The successful applicant will work on synthetic observations from these simulations, extract observables using the tools commonly used for observations (SourceExtractor, SED-fitting codes), and
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. Activities: Development of mathematical models. Development of probabilistic inference algorithms. Code implementation, with a particular focus in Julia. Method validation. Application of models on curated