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Machine Learning & AI Spring semester: (beginning of January through mid-May) Python Programming for Data Science General Linear Models Deep Learning & AI The Tutor role will include the following
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on artificial intelligence techniques, namely machine learning and deep learning; (3) analysing mathematical models applicable to renewable energy generation technologies and electrical energy storage systems; (4
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also should have deep experience in graduate-level teaching and student advising, with an ability to foster supportive learning environments for students. The Department of Health Systems, Management and
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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architectures for (bio)medical research and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based
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, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of
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). The ideal candidate brings a strong machine learning foundation, curiosity about sound and music computing, and enthusiasm for collaborating with PhD students and postdocs. You will help combine individual
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; PyTorch, OpenAI.Gym Mathematics: linear algebra, probability and statistics, dynamic programming, reinforcement learning theory, and deep reinforcement learning algorithms. Experiment Design: Familiar with
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, Transfer Learning, Deep Reinforcement Learning, and Transformer-based models, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical
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PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence for next-generation (6G) communication systems. The project focuses on integrating Artificial