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typically work with datasets of up to several TBs depending on the case study); - Autonomy to conduct independent analysis and research on our (GPU/CPU) servers, familiarity with coding frames in machine
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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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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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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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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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-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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). • 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