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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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, probability, linear algebra). * Programming expertise in Python, with experience in PyTorch or TensorFlow. * Familiarity with networking and edge computing (e.g., MEC, IoT, 5G/6G). * Analytical skills
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languages (Python, MATLAB) would be considered as assets for the application of the candidate. • Languages: Strong command of scientific English, both written and spoken. • Personal attributes: Autonomy
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of computational neuroscience concepts - Expertise in dynamical systems theory - Knowledge of machine learning - Experience with neural data analysis ### Technical Skills - Advanced scientific programming (Python
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interdisciplinary research at the interface of biology, physics, and computation ● Experience in image analysis and/or machine learning is highly desirable ● Programming skills (Python or equivalent) are a plus
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experience in environmental molecular biology and metagenomic data analysis. Skills in bioinformatics (R, Python, omics data analysis) are highly desirable. The ability to work independently while engaging in
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of LHC data, based on solid C++ and Python expertise, is strongly appreciated. Ability to work in a large international collaboration is a must. Fluency in English, speaking and writing (B2 minimum) is
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a related field, - Strong expertise in numerical modeling and simulation, - Excellent command of scientific programming (Fortran, MATLAB; additional experience with Python or C++ is an asset