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to astronomical tables. This new platform will provide the scholarly community with access to the tools used to produce EIDA's results, and the release of the source code will facilitate the further development
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Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
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twenty years have required the development of more generic codes capable of accounting for certain specificities such as continuous fuel recycling or the modeling of effects associated with the migration
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refrigerator (CNDR), which would allow ultra-low temperature researchers to take full advantage of cryogen-free technology. - Based on the existing codes, propose a route for a software versatile enough to model
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. The requited person will achieve these research studies within the H.E.S.S. and CTAO collaborations. - Gammapy developer (code, test, benchmark, documentation) - Participation to the Gammapy user support
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of the main developers of the SMILEI PIC code) and the development of advanced electron beam diagnostics. The group also operates several test benches for beam magnets and diagnostics, which will be available
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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines
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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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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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candidate has experience in coding numerical solutions to partial differential equations via the finite element method / finite differences schemes and programming skills in Mathematica, Matlab, Python