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. The project State-of-the-art quantum devices will need state-of-the-art fabrication tools. In this project we will combine methods of quantum optics to enhance tomorrow's fabrication tools. This challenging and
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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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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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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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of programming languages. The ideal candidate has an MSc in Computer Science or Mathematics and experience in one or more of the following areas: Theory of programming languages. Logical methods in
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range of advanced functional genomics methods, particularly single-cell technologies, in pre-clinical model systems such as cell lines and patient-derived tumor organoids as well as patient samples
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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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on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism elucidation
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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
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focused on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism