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qualitative and/or quantitative methodological skills who have a scientific background in political science, public administration, international relations, or history. Candidates with alternative scientific
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Department of Health Science and Technology carries out multidisciplinary research, teaching and dissemination within biomedical engineering, sports science and medicine. The department has
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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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functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full integration of model checking and synthesis with
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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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The Center for Molecular Prediction of Inflammatory Bowel Disease(PREDICT) is looking for appointing a talented PhD student to conduct research at the intersection of the medical and data sciences
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obtain further information from Associate Professor Rikke Gade, Department of Architecture, Design and Media Technology, phone:+45 2683 1996 or+45 9940 7124, email:[email protected] concerning
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on generative AI have been suggested. The data science team under this project will develop privacy metrics based on Bayesian statistics. The overarching purpose of the legal part of the project is to develop
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candidates with excellent qualitative and/or quantitative methodological skills. Furthermore, experience with developing experimental or quasi-experimental designs for social science research. is considered
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Advancements in deep learning have led to a new era in speech processing, where deep learning models demonstrate exceptional performance across various tasks, such as automatic speech recognition and enhancement. The efficacy of deep learning models lies in their utilization of multiple layers,...