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-physics application, specifically using Chimera/overset meshes and with applications to shocks Experience in programming in Python and C++, and in using scripting languages commonly used on Unix systems
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in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation Good organisational skills and
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, computer science, or a related field Proficiency in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation
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) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C++) Good
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, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills
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, computer science, physics, material science, earth science, life science, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a
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Very good programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills You enjoy working within a diverse team in an international and interdisciplinary
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on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills
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to the overall goals and objectives of SHIELD; publish your research findings in peer-reviewed scientific journals; write a PhD thesis for defence at the Vrije Universiteit Amsterdam. Where to apply Website https
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) Physics Knowledge of experimental atomic, plasma and/or laser physics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed