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between pollen chemistry, pathogens and bee health is still poorly understood and represents the focus of this collaborative project. Position 1 at TUM: The TUM position will primarily focus on the role
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. You are willing to work in a multidisciplinary context• Previous experience with active inference, reinforcement learning or other ML-based techniques for control is considered a plus but is not a
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) at the VIB CMN. We are excited to announce a call for a joint PhD student in our labs to work on a challenging project at the interface of neurodegeneration, genomics, computational and systems biology
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is known about how these changes are connected to the accumulation of lipids in microglia, and how this promotes neurodegeneration. In this project, we aim to elucidate how lipid metabolism controls
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chromatin organisation, chromatin accessibility and gene expression data for all major cell types forming the peripheral nerve environment (as well as controls), generated from the patient-derived iPSCs and
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The Faculty of Engineering, Department Toegepaste mechanica, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a doctorate, contains: We
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. Detailed job description You will work on a fundamental research project funded by the FWO-Flanders. This work is on the design and control of a hybrid robot that takes advantage of the compliance of cobots
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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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Job description Short job description We are seeking a highly motivated and talented PhD researcher in the field of system identification and control engineering for mechanical/mechatronic systems
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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