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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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approach that includes cross-section calculations, the development of Monte Carlo codes, and the advancement of the NanOx model for biological dose prediction. As part of a collaboration with the University
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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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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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. - Experience in coding (python or other computer language). - Proven track record of publications in peer-reviewed journals. - English (written/oral) level of at least B2 (according to the common European
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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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-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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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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-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