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for robot intelligence, with applications that naturally extend to marine and maritime domains. You will work closely with colleagues across the department and engage in strong collaborations with academic
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine
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% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
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well as international collaborations with the University of Pavia (Italy) and Paul Scherrer Institute, Switzerland. The AMD section is a leading group in combining multiscale modelling techniques, machine learning
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Job Description Finished with an MSc in math, but not quite done learning? Are you ready to take the first steps into Applied Mathematics research? Are you curious, ambitious, persistent and quality
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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance
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PhD position (starting on 1 September 2026) will focus on secure Multi-Party Computation and Zero-Knowledge Proofs. You’ll join a growing, collaborative team of cryptographers at DTU, and you’ll get the
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at DTU? Real impact: Work in close collaboration with leading Danish partners (Energinet, Enfor, Green Power Denmark, NeoGrid, and Watts) on problems that matter today, as part of the EUDP-funded “Data
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student within the field