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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
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problem-solving skills, with a solid foundation in Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous
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Nonlinear Structural Analysis Strong analytical and technical problem-solving skills, with a solid foundation in Mathematical, Probabilistic and Engineering principles and methods Familiarity with offshore
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continuous market and ancillary markets. Develop stochastic forecasting methods for demand-side flexibility quantification. Integrate data-driven models into optimization models for optimal plant operation and
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for realistic haptic control and feedback, real-time agent-based simulation for guiding optimal work task performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
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using probabilistic methods. You will collaborate with domain experts across transport modeling, machine-learning, and policy design to ensure scientific and practical relevance. You will contribute
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. The division also runs four instrumentation laboratories and hosts a center for space weather research and forecasts. Technology for people DTU develops technology for people. With our international elite