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If you are establishing your career as scientist and want to be at the forefront of sensory research with focus on the use of modern objective and subjective sensory methods, then this position may
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research in the field of modern high voltage polymer electrolytic capacitors, develop models for lifetime prediction, methods to predict and test for reliability, understand physics of failures at elevated
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may employ optional methods, such as quantitative and/or qualitative approaches, discourse or narrative analysis. Selection criteria will emphasize projects with a historical focus on one or more of the
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Small case Studies of Successful Innovation Funding Methods The project will employ a combination of mainly quantitative methods, including machine learning (ML) and generative AI (GenAI) models
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Public Health, Sociology, Medicine or similar disciplines. We prefer a candidate with the following qualifications: Strong background in epidemiological methods, health policy, or healthcare systems
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qualifications The Researcher will have the opportunity to join a cross-disciplinary, international team working on developing virtual testing and digitalization methods for wind turbine structures and components
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has an educational background in the social sciences, insight into entrepreneurship and skills in both quantitative and qualitative methods. Applicants must be fluent in English. Approval and Enrolment
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foods and nutrients, measure dietary intake and body composition by gold standard methods, collect and analyze blood samples and conduct various other assessments of children’s health and development. As
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social science methods. Strong writing skills. Further information For further information about the position, please contact Associate Professor Tonny Brems Knudsen, Department of Political Science
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and