8 molecular-modelling PhD positions at Delft University of Technology (TU Delft) in Netherlands
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understand their surroundings even in harsh weather conditions. However, current radar systems face limitations in resolution due to cost and power constraints. This PhD project explores generative models as a
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Job related to staff position within a Research Infrastructure? No Offer Description Join a multidisciplinary consortium and develop state-of-the-art computational models to explore, optimize, and
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Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Describe and model the reserivoir for underground hydrogen storage. Change: Protocols for safe and
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-of-the-art equilibrium and optimization models to capture market clearing and price formation processes, market distortions and policy interventions. These models allow addressing policy-relevant research
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process capable of achieving net zero for the metallurgical and methanol production industries. In this project, TU Delft will lead the work package on Components multi-scale modelling, optimisation and
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Learning, generative models, diffusion models). Knowledge in sensor data processing and radaris a plus. Good programming skills (Python) and knowledge of deep-learning frameworks (PyTorch) are expected. A
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studies of the Fermi-Hubbard model and spin lattice models. These positions are embedded in the Vandersypen lab at QuTech, Delft University of Technology. We strive to perform experiments at the forefront
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instance fall back to a 2-target approach where we assume 1 target of interest and 1 interfering target that models the total interference term. For a dynamic scenario, however, we will consider a more