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towards this requirement. Technical Skills or Knowledge: Proficiency in Python and other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies
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, high-performance computing, and quantum computing Strong background in mathematics, optimization, numerical methods, or scientific computing Excellent programming skills (e.g., Python, C/C++, Julia
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of microcontrollers possible) Tracer experiments in the stream In-depth data analysis using R, Python or Matlab Presentation and publication of scientific results About You: Essential Qualifications: An MSc degree in
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Solid mathematical foundations and strong programming skills Proficiency in Python and experience with deep learning frameworks such as PyTorch Ability to work independently and take initiative in driving
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, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
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tumor cells, cell-free DNA, extracellular vesicles) Familiarity with single-cell omics methods (scRNA-seq, proteomics) Basic bioinformatics skills (R, Python, or similar) Experience working with patient
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Linux and a programming language (C/C++ or Python) is a plus but not mandatory. Location: PROMES CNRS Laboratory – Perpignan site Starting date: April 1st , 2026 at the latest Salary: Minimum gross
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., using Python). - Strong interest in research and modeling approaches. - Ability to work in a team at LSCE, IPSL, and within the AMACLIM project. - Synthesis skills (literature review, analysis of model
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-twin concepts, and programming (e.g. Python, MATLAB, LabVIEW or similar engineering software) B.4 Strong interest in metrology B.5 Experience in working with experimental setups, laboratory equipment
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of biomass conversion technologies. Experience in programming with Python. Experience in Life Cycle Assessment. Experience in techno-economic analysis. Experience in scientific writing and communication