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inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The successful candidates should have excellent grades, strong mathematical and simulation
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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algorithms. As a formal qualification, you must hold a PhD degree (or equivalent) in areas such as chemical engineering, chemistry, petroleum engineering, mechanical engineering, and mathematics. Overall, we
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Thermodynamics, Transport Processes and Mathematical Modelling. AT CERE has a total staff of approx. 50, of which 6 is faculty. Technology for people DTU develops technology for people. With our international
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We are seeking a highly motivated post-doctoral researcher to develop scalable probabilistic machine learning models and algorithms for representation learning, uncertainty quantification, and model