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similar) is a plus. - Teamplayer - Proficiency in Linux and Python. - Relative independence in conducting calculations and writing scientific articles. Website for additional job details https
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frameworks such as JAX or PyTorch would be an advantage, as would experience with tools for cosmological simulation, Bayesian sampling or high-performance computing. Strong skills in Python programming and
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to genomic data analysis. * Experience in data analysis and visualization, particularly using R and/or Python. * Ability to integrate experimental, genomic, and phenotypic data. * Strong interest in
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time series analysis / statistics / forward modeling Programming skills (Python, FEM, SPECFEM) Experience in communicating, writing, publishing scientific works Proficiency in English level C2
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, crystal field multiplex calculations). - Solid understanding of X-ray physics, detector technologies (SDD, ionization chambers), and vacuum technology. - Proficiency in Python, MATLAB, or specialized
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skills The candidate should master all or some of the following techniques: • molecular biology; • nucleic acid extraction; • transcriptomic analyses; • bioinformatics (R, Python, Linux); • statistics
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degree in applied mathematics, theoretical biology, or ecology, who is attracted to fundamental questions in ecology and evolution. Strong training in programming (R, BUGS/JAGS, Python, etc.) and
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- wavelength data will also be considered. Knowledge of extragalactic astrophysics is preferred. Skills in one or several programming languages (e.g. Python, Fortran, C++) are necessary. Website for
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and/or clouds (3MI, MSG/MTG, EarthCare, etc.) - Proficiency in scientific data processing and programming tools (Python, Matlab, etc.) and associated statistical methods - Oral and written
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Technical skills: Plasma etching and wet etching processes; material characterization (XPS, ellipsometry, AFM, electron microscopy). Additional skills: Written and spoken English; Python programming