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de programmation scientifique (R, Python ou équivalent) ; • Manipulation de jeux de données volumineux et éparses ; • Intérêt pour l'analyse de grandes bases de données environnementales et
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Python, MATLAB, and/or Simulink is highly desirable. Experience with SolidWorks and 3D printing is preferred. Strong problem-solving skills and attention to detail are essential. Previous experience in
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molecular, cellular, or quantitative biology. Experience with microscopy, image analysis, computational analysis, or data visualization preferred. Exposure to programming or analysis tools such as R, Python
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Python programming. • Proven experience in writing scientific papers. • General knowledge of physical oceanography or climate dynamics. The selection committee will take gender balance within
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physics. Experience in surface science, crystallography, Python programming, and/or quantum chemistry will be considered an asset. Excellent communication skills are essential, with the ability to work and
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skills: Strong background in chemistry, physical chemistry, materials science, or condensed matter physics. Experience in data science, Python programming, high-performance computing and/or quantum
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should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, including courses using R or Python. Responsibilities include teaching two undergraduate courses in
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experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including parameter estimation and uncertainty
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quantitative data and ideally historical data sources - Knowledge of descriptive statistics and statistical software (e.g. R, stata, Python) - Interest in economic sociology and political economy - Knowledge
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programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with C++ for high-performance signal processing is a plus. Experimentation: Proven experience