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programmes in the world. Fouchier has involved numerous young researchers in all his initiatives. He has supervised many PhD candidates and students: eight team members or former team members have started
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academic record, with expertise in machine learning, statistical analysis, and numerical methods; ● Proficiency in Python (preferred) or related programming languages such as R, MATLAB, or C++; ● Experience
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satellite observations, climate reanalysis data, and numerical models to better understand how sea ice is transported out of the Arctic and how heat is exchanged between the ocean, ice, and atmosphere. Your
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numerical methods for quantum systems is preferred. Experience with neural quantum states is a bonus. Good programming skills in Python. Familiarity with JAX is a bonus. Proficient in spoken and written
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of numerical, empirical, and theoretical techniques, with a special focus on decarbonization of the industry and energy sector in the EU and The Netherlands. The PhD position is embedded in the Centre
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plants; Experience in (numerical) mathematical modeling (e.g., Cellular Potts modeling, particle-based simulations, PDEs, FBA); Suitable programming skills in C++ or a related language. Multiscale
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materials. Another major challenge is enabling motors to function in aqueous media, which opens up numerous opportunities for integrating motors with biological systems, i.e. to design responsive biohybrid
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related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific
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an overview of your experience with molecular dynamics, density-functional-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc
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-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc grades List of at least two references with full contact information