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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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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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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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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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-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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-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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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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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