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optimization of waste heat harvesting. Your role will be to simulate the heat transfer processes between façade panels and thermoelectric generators, focusing on maximizing waste energy recovery efficiency. You
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practice as well as in theory. Your primary responsibilities will include: Investigate, develop and validate new models to simulate wind turbine response in HAWC2 at different fidelity levels. Validation
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them to develop preforms; Draw the multifunctional optical fibers based on modified thermal drawing process of multiple materials (e.g. polymers and metals) with strongly different thermomechanical
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Job Description Are you an ambitious Material researcher wanting to make an impactful change to the way we treat our water and plastic waste? Then please apply, as we are looking for a new team
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suite of thin-film deposition and processing setups heavily customized for exploratory materials research. This includes the “big three” techniques (sputtering, evaporation, and CVD) with access to 5
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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the experiments. You will also have the opportunity to carry out your own simulations with our numerical model. Qualified applicants must have: A strong drive to move the frontiers of science. Ample experience with
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and MSc students. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme