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Job description Short job description We are seeking a highly motivated and talented PhD researcher in the field of mechanical and control engineering of robots. You will work on a cutting-edge
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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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international interdisciplinary research team focused on computer vision and surgical video analysis, we are looking for a motivated research assistant. This is a full-time, one-year position that is renewable
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for a m/f/x PhD Student – Subject: Quality Issues in cell and gene therapies YOUR JOB Development and validation of quality control assays for ATMP characterisation Design, optimization and validation
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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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gap by (a) implementing a large randomized controlled trial, and (b) involving stakeholders (adolescents, teachers, parents, organizations) via focus group interviews. In a first phase, we will collect
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are crucial for all soil processes and their associated ecosystem services. Soil biology is thus determining plant health, crop yields, resilience of soils against physical degradation, water storage, carbon
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management of PXE focusses on symptom control and prevention as no treatment is available. This research project aims to evaluate the efficacy of genome-guided therapy in ectopic calcification, common in
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improves focus, while overload leads to inefficiency and cognitive fatigue. Novelty and Engagement: Generative AI will be used to introduce a controlled level of novelty in learning content and environmental
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a keen interest in forest ecology. You might also contribute to field work to collect additional field data for this project. A good command of English, both written and oral WHAT WE CAN OFFER YOU We