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. However, it is an open question how these technologies should be designed and tailored to the highly diverse, dynamic, and individualized needs of people with disabilities. In this PhD project, you will
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might be our next PhD candidate! Information Functional and durable regeneration of articular cartilage is still an unsolved challenge, despite the growing clinical and socioeconomic burden. In recent
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modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
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and experience with modern deep learning frameworks (e.g. PyTorch) Solid background in machine learning, ideally with experience in NLP, large language models, or sequence modeling Interest in clinical
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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel
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strong interest in foundational research in the above-mentioned research areas strong programming skills, preferably in Python, including experience with deep learning frameworks (e.g., PyTorch, TensorFlow
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Higher education in computer science, Minimum 25 years of professional activity, minimum 20 years of research experience, member of research contracts focused on deep learning problems for computational
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looking for a full-time (100%) doctoral scholarship holder in the field of machine learning for circular polyurethane design. Position You will actively work on the preparation and defence of a PhD thesis
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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
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, or address deep, long-lasting impacts. In a world facing proliferating conflicts, the Leverhulme Centre for Research on Slavery in War (LCRSW) is the first overarching and integrative academic initiative