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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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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 of the fellowship, including a plan
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the project/work tasks: The overall goal of this PhD project is to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole
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by the EU programme Horizon Europe. The main aim of the project is to unveil the role of the Epstein-Barr virus (EBV) in the onset and progression of the Multiple Sclerosis (MS) disease. The position
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for epidemiology and medical statistics. The position is part of the project “Targeting the Epstein-Barr virus to treat and prevent MS (EBV-MS)”, financed by the EU programme Horizon Europe. The main aim
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is 3 years. It is a requirement that the project is completed in the course of the period of employment. For all LEAD AI fellows, a Personal Career Development Plan (PCDP) is to be developed jointly by
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. The fixed term period for this position is 3 years. It is a requirement that the project is completed in the course of the period of employment. For all LEAD AI fellows, a Personal Career Development Plan
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integrated masters’ program in pharmacy and contribute to professional development for pharmacy students and teaching in social pharmacy / pharmacy practice. The candidate will belong to, and have a vital role
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of cellular homeostasis and epigenetics Development of subcellular proteo-metabolomics and fluxomics workflows to investigate the dynamics hub molecules (Acyl-CoAs, CoA, SAM) and protein/histone modifications
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and signalling in the context of cellular homeostasis and epigenetics Development of subcellular proteo-metabolomics and fluxomics workflows to investigate the dynamics hub molecules (Acyl-CoAs, CoA