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are linked to research on composite hydrogen tanks, composite propellers for drones and finite element modelling of textile manufacturing. All research will be conducted with leading companies in
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environmental, economic, and social sustainability of offshore wind farms (OWFs) across their full lifecycle. The platform will integrate life cycle assessment (LCA), marine ecosystem impact models, and a digital
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) to simulate material degradation under coupled mechanical-electrochemical conditions. You will start working on in-house implemented coupled deformation-diffusion-degradation material models, and focus
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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research project; ”Exploiting the genomic architecture of ectopic calcification: from variants to genome-guided therapy, using pseudoxanthoma elasticum as a model." Mineralization of soft tissues such as
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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-spotted spider mite, is among the most harmful pest insects worldwide. Due to its exceptional ability to adapt to various crops and pesticides, this mite serves as an excellent model system for studying
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: the aluminum oxide layer is fully recyclable. As a PhD student, you will contribute to the development of multiphysics (electromagnetic & thermal) models for windings of electric motors. Also, you will study how
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preclinical experiments on ex vivo brain slices and in vivo rodent models to investigate and optimize the effects of TIS Analyze ex vivo and in vivo electrophysiological and fMRI imaging datasets Collaborate