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the DESS Research Group:https://www.en.tech.aau.dk/research/research-groups/data-engineering-science-og-systems-dess Qualification requirements: Appointment as Postdoc presupposes scientific qualifications
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recyclable wind turbine blades in the future. New concepts for blade manufacturing processes using preform technology will be explored and matured together with the development of new blade recycling processes
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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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“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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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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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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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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intentions and visions for the position are stated). Current CV(including personal data). Copy of relevant diplomas(Master of Science and, if any, PhD) On request you could be asked for an official English
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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