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. The successful candidate will work directly with the project’s principal investigator, Assoc. Prof. Robin Kaarsgaard , an internationally recognised expert in the areas of quantum programming languages
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data mining, data management, or machine learning conferences based on the research work. The project’s principal supervisor is Associate Professor Arijit Khan, Department of Computer Science. His
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basic to applied within both natural sciences and engineering. With approx. 150 employees, 75 PhD students, and 775 bachelor and master’s students at our campuses in Aalborg (main campus) and Esbjerg, we
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students at our campuses in Aalborg (main campus) and Esbjerg, we are a vital research and educational institution when it comes to creating new basic knowledge as well as contributing to solving the world’s
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students at our campuses in Aalborg (main campus) and Esbjerg, we are a vital research and educational institution when it comes to creating new basic knowledge as well as contributing to solving the world’s
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natural sciences and engineering. With approx. 150 employees, 75 PhD students, and 775 bachelor and master’s students at our campuses in Aalborg (main campus) and Esbjerg, we are a vital research and
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data, union data and measures of institutional embeddedness. The Fellow is expected to produce original research work from this data, delivering historical analysis of income distribution dynamics in
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and qualifications The main purpose of this project is to apply advanced phage display technologies to discover and develop single-domain antibodies (sdAbs) specific for K6-linked ubiquitin chains
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dopaminergic differentiation. Your main contribution in this project will be the development of the optoelectrical platform with electrodes and optical waveguides. Given the size of the consortium, scalability
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Danish Twin Research Center. The primary place of work will be the Department of Psychology, University of Southern Denmark, Odense. Required qualifications PhD in bioinformatics, neuroscience