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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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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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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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-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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-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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. 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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problem. - Creating, communicating and evaluating the core flow benchmark. - Analysis and post-processing of geodynamo simulation outputs from various codes (e.g. XSHELLS , Parody_JA ), possibly running new
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-doctoral fellow will work within the framework of the project with the aim of both (1) performing Monte Carlo simulations (with established codes such as GEANT4, MCNP, FLUKA, or others) in order to project
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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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well as investigating the role of non-local correlations in the quantitative prediction of satellites positions and pole strengths. The successful candidate will participate in numerical research and scientific code