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to staff position within a Research Infrastructure? No Offer Description Thousands of students across many technical programmes are taught mathematics every year at the University of Twente, by
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-edge research at the intersection of computational mathematics and its applications in physics, engineering, and material sciences, with a specific focus on addressing direct and inverse problems in
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candidate will work under the supervision of Dr. rer. nat. José A. Iglesias Martínez and prof. dr. Christoph Brune, as part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA
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on calibration in deep learning at the Pervasive Systems Research group, Department of Computer Science, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente in
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efficiency of deep neural networks. Investigate the mathematical underpinnings of sparsity in deep learning and its effects on learning dynamics, and generalization. Implement and benchmark sparse training
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original research on sparse-to-sparse training techniques, exploring new frontiers in algorithmic development for DRL. Investigate the mathematical underpinnings of sparsity in deep reinforcement learning
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completing, a Master’s degree in Civil Engineering, Geophysics, Geology, Geotechnics, Earth Sciences, Applied Mathematics, or a related field. Possess programming skills, which would be a significant advantage
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a M.Sc. degree in the field of data science, computer science, electrical engineering, applied mathematics, biomedical engineering, or a closely related study program. You have a creative mindset and
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, Engineering, Information Technology, Mathematics, Computational Science or related fields; A strong passion and outstanding skills in data science and experience working with Python; Knowledge of quantitative
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a highly motivated, enthusiastic researcher who is driven by curiosity; You have a master’s degree or equivalent experience in Business, Economics, Engineering, Information Technology, Mathematics