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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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processing experimental data in a scientifically sound manner. You are willing to dedicate yourself to this research project for a period of four years. WHAT WE CAN OFFER YOU We offer a full-time position as a
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process for this scholarship, award or prize, download a copy of the regulations. Help and support You can find answers to your questions about scholarships, awards and prizes on the University's online
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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network to unravel and efficiently treat the causes of ectopic mineralization in hereditary and acquired diseases. In this context, the EMRg is the coordinator of this international network on ectopic
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on principles from engineering, cognitive neuroscience, artificial intelligence, and human-computer interaction. It has potential applications in education, training, and cognitive rehabilitation, and contributes
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to evaluate the process and explore future implementations. Other empirical studies will be conducted to examine how and when adolescents may more strongly benefit from resonant breathing exercises. Together
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fluently in English. You have good computer skills and data management skills. What we can offer you We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which
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(SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA algorithms in Robustness against data and model poisoning attacks. Develop SOTA algorithms in
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clinical use-cases for benchmarking existing state-of-the-art (SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA FL algorithms that tackle data