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selectivity between materials and minimize plasma-induced damage, will be evaluated as part of this study. To achieve this objective, it will be necessary to understand the etching mechanisms of the different
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aerosols. - Visualization and post-processing tools: Proficiency in visualization tools (e.g., Python) and data post-processing tools to analyze simulation results and generate graphs, maps, and diagnostics
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microbiology, bacterial genetics, CRISPRi approaches, and bioinformatics analyses to identify the molecular and genetic determinants underlying strain-to-strain differences in stress responses. In particular
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should have a good knowledge of scientific programming (e.g., Python, C, Fortran) and finite-element or finite-difference schemes. It will be an asset if the candidate has prior research experience in
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) to soft matter or related systems; basic knowledge of scattering data modelling is essential. Data analysis skills and programming experience in Python or MATLAB. Ability to work effectively with multi
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, particularly in light of the rise in chronic diseases, the necessary strengthening of prevention efforts, or the possible resurgence of epidemics; socio-economic inequalities and differing capacities to access
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on the study of the various mechanisms involved in ZnO growth. One objective is to identify the key mechanisms, particularly those related to the different ion fluxes involved. A molecular dynamics approach
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: R, Python, QGIS. You demonstrate : • autonomy, • organizational skills, • rigor, • ease in communication, • strong capacity for synthesis. Finally, you are comfortable with project follow-up and the
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. This large multimodal dataset allows us to estimate and test different computational models of the decision and learning processes. One postdoc is currently working on the MEG and iEEG data, and one PhD
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity