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research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD
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there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Technology within three months of accession in the position. About the PhD-project Offshore wind energy
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. The position is for a fixed term of 3 years and is associated with the LEAD AI project co-funded by European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant
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about the department’s PhD program can be found here. The position is part of an active and interdisciplinary research environment with strong expertise in several areas of political science, offering
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or theoretical/computational physics. Master’s students may apply if they expect to complete their final examination by 01.10.2025. Employment is contingent upon the degree being awarded. Solid experience with
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and take part in teamwork. Personal suitability for the post will be emphasised. It is a requirement that the successful applicant is granted admission to the university’s doctoral programme in
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) will consist of teaching and supervision in the institutes study programmes. The research fellow must take part in the Faculty’s approved PhD program and is expected to complete the project within
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previously been employed in a qualifying post (e.g. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a
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permanent professors/associate professors, post-docs, researchers, technical, and administrative personnel, the Department has a total staff of 260 from more than 30 different countries. The Department aims