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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
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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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machine learning - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results - Integration within the BioDiv team at IBENS - Availability of work
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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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they interact in a bipartite network and with abiotic environmental changes - mathematical developments - coding - tests with simulations - data analyses - paper writing - presenting results
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nearly 30% of the genome is eliminated in the soma, mainly targeting transposons. Several recent data suggest that PDE may serve to control transposons rather than the few hundred protein-coding genes