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development, while contributing to finding solutions with practical significance for the energy transition in society. The high demand in the labour market for personnel with the knowledge and skills
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unique opportunity for specialisation and personal development, while contributing to finding solutions with practical significance for the energy transition in society. The high demand in the labour
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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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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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-quantum cryptography. The education will provide a strong foundation for participating in the development of quantum technology. In Norway, we aim to expand and strengthen the national academic community in
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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
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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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interdisciplinary collaboration between the Department of Mathematics and the Department of Physics and Technology. The project includes three main activities: (i) the development of novel simulation techniques, (ii
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explore two essential enzymes involved in fatty acid synthesis in Gram-negative bacteria, with particular focus on Pseudomonas aeruginosa. We will use a structure-based approach to develop potent inhibitors