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of the project proposal for the qualifying work, as well as a progress plan, will be developed in cooperation with the supervisor and head of department. It is a requirement that the project is completed in
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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
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develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open-source energy market simulation model for operational planning JulES developed by
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the doctrinal framework and evolution of the intersection between intellectual property law and artificial intelligence. About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and
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of this project is to develop quantitative and qualitative parameters related to different sustainability dimensions that can supplement data on safe and healthy food with indicators of relevance. The project is a
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tasks: Over time, IMR has built up a large database (Seafood data ) on the content of nutrients and contaminants in various seafood. The aim of this project is to develop quantitative and qualitative
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fellow at the same institution. For all LEAD AI fellows, a Personal Career Development Plan (PCDP) will be developed jointly by the fellow, supervisor, and co-supervisor by the end of Month 3
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fellow at the same institution. For all LEAD AI fellows, a Personal Career Development Plan (PCDP) will be developed jointly by the fellow, supervisor, and co-supervisor by the end of Month 3
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for more than one fixed-term period as a postdoctoral research fellow at the same institution. For all LEAD AI fellows, a Personal Career Development Plan (PCDP) will be developed jointly by the fellow
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stays abroad. Individuals may not be hired for more than one fixed-term period as a postdoctoral research fellow at the same institution. For all LEAD AI fellows, a Personal Career Development Plan (PCDP