47 collaborative-learning PhD positions at Technical University of Denmark in Denmark
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-informed design platforms. Furthermore, REUNATECH promotes trans-disciplinary collaboration via multi-stakeholder platforms, bridging academia, industry, and policy. Through its ho-listic, digital, and
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DTU Management’s Management Science division. The project is led by Professors Stefan Ropke and Richard Lusby and involves international collaboration with leading researchers in machine learning and
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European level Participation in teaching activities Teaching and Learning education You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected
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(e.g., Kalman Filter) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness
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some background in one or more of the following areas: Mathematical Optimization / Operations Research Reinforcement Learning, Machine Learning, and/or Multi-agent systems Game Theory Algorithms
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into the enzyme-substrate interaction in the same set of enzymes. Further, there will be collaboration with a PhD student from NTNU working with similar analytical methods on another class of carbohydrate-active
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materials to address the global energy problem. To benchmark a new material experimentally, we must be able to detect reaction products with high sensitivity and good time-resolution. In close collaboration
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The PhD project will involve both (a) developing foundational probabilistic machine learning methodology, and (b) applied collaboration with experimentalists in chemistry and biology. The candidate may have