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has been studying any of these topics: statistical physics, computer simulation methods, and polymer physics. Proficiency in the C++ and/or Python programming language is an advantage. Good knowledge
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connectivity and brain function. You have affinity with working with large datasets and have knowledge of data analysis and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with
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polymer physics. Proficiency in the C++ and/or Python programming language is an advantage. Good knowledge of spoken and written English (C1 level) is an essential asset. The candidate should also be
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and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome
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analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle physics. Experience with machine learning algorithms and software is desirable but not
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physics or in a closely related field. The ideal candidate has a strong interest in data analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle
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highly recommended. Familiarity with experimental techniques for clean-room fabrication and sensitive electrical measurements is highly recommended; a good command over programming languages such as Python
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metabolic assays and imaging techniques such as echocardiography or tracer-based studies. Analytical and detail-oriented. You can work with quantitative data and statistical tools (e.g. R, Python, GraphPad
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and simulation of PV systems and other offshore renewable energy technologies; hydrodynamic and fluid dynamic systems; programming and numerical modelling (e.g. Python, MATLAB); computational fluid
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programming languages such as Python or R. You are able to collaborate effectively in a diverse, multidisciplinary research team. You have strong communication and social skills. Given the international