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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is now looking for a Doctoral student in machine learning for continuous
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is now looking for a Doctoral student in machine learning for continuous
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of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is August 26th 2024. Project description and tasks Machine learning (‘artificial intelligence’) is
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of topics in modern machine learning research, including geometric deep learning, non-convex optimization problems and federated learning. In addition, this project is deeply connected with
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or stealthy DDoS attacks is unexplored in the cloud-edge continuum. Where machine learning (ML) is deployed both for optimising performance (benign adaptation) and attack detection (DDoS), security researchers
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or what heuristics organisms might evolve. This research project is a collaboration between Eric Libby and Laura Carroll. It involves using machine learning techniques to infer the mechanisms by which
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of injuries to the upper extremity supported by machine learning and neural networks. The position is an initiative within the framework of the research initiative "Learning and brain plasticity throughout
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Machine learning Candidates are expected to have good knowledge in Artificial Intelligence and good programming skills in some of the following: Python, PyTorch library, OpenAI-Gym, Prolog, ProbLog, Answer
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interdisciplinary research environment, where there is expertise in movement analysis, DBS treatment, physiotherapy, image analysis and machine learning. Eligibility requirements To be admitted to education at
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. Your role in the project will be to develop and evaluate models and methods. You will work in an interdisciplinary environment with expertise in radiotherapy, image analysis and machine learning