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high-frequency data and building robust, data-driven models that impact decision-making in real-time markets? We invite applications for a Joint-PhD position at the University of Amsterdam, in
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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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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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develop numerous research skills, by enrolling, for example, in the graduate training programme of the Netherlands Graduate Research School of Science, Technology, and Modern Culture (WTMC). You will also
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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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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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), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
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programming skills (Fortran, Python or similar); affinity with spatiotemporal data analyses and numerical modelling; strong reporting and presentation skills; a good level of written and spoken English. Our
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adaptation by strengthening energy system resilience against growing climate-related risks. Modeling energy systems presents numerous challenges, which become increasingly intricate when applied at urban
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Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel