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in the Reinforcement Learning Lab for Sustainable Energy, a cooperation between Leiden University and an industrial partner. The global energy transition is one of the key challenges that our world
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computational analysis. To perform state-of-the-art research, RIMLS-FNWI operates its own wet-lab and computational facilities. Within the ZonMW-funded Genetic Plasticity consortium, you will work closely
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part of the Institute for Molecules and Materials (IMM). Our labs are housed in the Huygens building and equipped with state-of-the-art instruments to conduct top-notch research in the field of active
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expected can be quickly updated for the design of optimal experiments. The student will work in close collaboration with the Englitz lab, so that there is a direct link between modelling, data analysis and
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accelerate our search towards a ground-breaking soft robotic heart solution for heart failure patients worldwide. Job description The Peirlinck Lab at TU Delft is looking for a PhD-student who will work
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Job related to staff position within a Research Infrastructure? No Offer Description Job description Research in the van der Sar lab: Our lab studies how interacting charges and spins move through
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project focuses on developing methods to assess the sustainability of nearly 100 nationwide AI systems within the National Lab on Education and AI (NOLAI). You will create methods to predict energy
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desulphurization using the powder injection process. As a PhD in Steelmaking Process Kinetics, you will: Provide a comprehensive assessment of sulphur removal. Perform lab-scale high-temperature experiments
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and Control at TU Delft's Faculty of Mechanical Engineering. The research is part of the EU Horizon MOSAIC project and is conducted in partnership with NXP, a leading chip manufacturer. Your results
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project and is conducted in partnership with NXP, a leading chip manufacturer. Your results will be published in top tier conferences like CVPR, ICCV, ECCV, ICRA and NeurIPS. For your work you will have