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. Competences of the ideal applicant: Hold a PhD degree in Chemical Engineering or in a relevant field. Experience with membrane technology in particular process design, scale-up, process modeling or optimization
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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
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Nordisk Foundation Data Science Collaborative Programme,“Synthetic health data: ethical development and deployment via deep learning approaches(SE3D)” which is a collaboration between Head of Center and
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We are is seeking a Post Doc candidate for a project in collaboration with Siemens-Gamesa; focused on the development and application of data driven modeling techniques for monitoring the health
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“unorthodox ideas in their early phase”. The prospective Postdoc will collaborate with other Postdocs and Ph.D. students in the group who are working on related projects regarding cyclodextrin science and
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are widely used in both conventional and emerging areas, e.g., 6G, small satellites, biology, industry 4.0, and so on. The Antennas Group at AAU aims at all challenging applications where antennas
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, The Danish Committee for Health Education, the Department of Social Pharmacy at the University of Copenhagen and the Department of Communication and Psychology at the University of Aalborg. Based on humanistic
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science, statistical analysis, and mathematics. Experience with programming languages such as MATLAB and Python. Excellent analytical, problem-solving, and modeling skills. Strong written and verbal
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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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a master's or Ph.D. degree in Electrical Engineering with a focus on RF and antenna design. Experience in the design, simulation, and hardware implementation of reconfigurable intelligent surfaces and