7 modeling-and-simulation-post-doc PhD positions at Delft University of Technology (TU Delft); Published yesterday
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Job description The exponential increase of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination
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Systems department. You'll collaborate with an interdisciplinary team working at the intersection of simulation, optimization, and policy modelling. You will also connect with TU Delft's strong internal
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English. Has a positive attitude. Is able to work independently. Prior experience with molecular simulation, ab-initio, or macroscale modeling is not strictly necessary, nevertheless, will be considered a
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Develop machine learning models to detect early signs of abrupt shift towards clean energy technologies and make climate action adaptive to this information. Job description Positive tipping points
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and magnetic fields. A crucial aspect lies in the interpretation/modelling of the results. In this role, you will get to work with a variety of devices structures, with an emphasis on quantifying
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to develop models and tools. Fostering an open and friendly environment, we are approachable and help each other, share knowledge, but also meet socially, to ensure you will get whatever support and training
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details please check the Graduate Schools Admission Requirements . Please note: You can apply online. We will not process applications sent by email and/or post. As part of knowledge security, TU Delft