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. The Postdoc project is headed by Professor Kim Lambertsen Larsen and is co-supervised by Associate Professor Thorbjørn Terndrup Nielsen. The project is funded by the Villum Experiment Programme that supports
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in, Engineering, Data Science, Computer Science or a related field with a strong foundation in physical and data driven modeling, statistics and stochastic processes. Experience in control engineering
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program Offshore Drones and Robotics(https://www.energy.aau.dk/research/research-groups/robotics) and the Postdoc position(s) will be positioned in the Esbjerg Energy Section. Research areas will be within
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the surrounding community. AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a very international environment and covers all areas of clean and
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-supervision of PhD students and postdocs. Collaboration with industry and public institutions. Participation in programme/organizing committees, editorial boards, peer-reviewing. Research stay(s) at another
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an advantage, as the candidate is expected to contribute to the Construction Management and Building Informatics education at Aalborg University. For further professional information, please contact Søren Munch
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candidate(s) for the PhD stipend holds a Master's degree in biomedical engineering, human machine interfacing, or equivalent with the prospect of pursuing studies on Tongue-Brain hybrid control of computers
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. Mobilizing literature in science and technology studies(STS), media studies and social anthropology, the project aims to redefine digital breakdowns as everyday “normal” occurrences rather than perpetual
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can be expected, where a detailed understanding of the Problem Based Learning(PBL) methodology from AAU is required. You will join a research group with several Ph.D. students, postdoc researchers, and
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
scientist, students, and a student helper. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme,“Synthetic health data: ethical development and deployment via