32 virtualization-"https:"-"https:"-"https:"-"INL---INSA-Lyon" Fellowship positions at University of Bergen
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with the possibility of a 4th year with career-promoting work (e.g. teaching at the Department). The position is funded by the University of Bergen. About the project/work tasks The Arctic Ocean is
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agreement ID: 101083157). About the project/work tasks: Offshore wind energy is fundamental to achieve the goals of the European Green Deal. Although offshore wind energy has an important degree of maturity
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-promoting work (e.g. teaching at the Department). The position is funded by the University of Bergen. About the project/work tasks The PhD Research fellow will lead an investigation of sediment gravity flow
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University Hospital. About the project/work tasks: The primary objective of this project is to develop novel radiometal complexes conjugated to bioactive molecules for advanced applications in PET imaging. PET
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fixed-term duration of four years. This position offers a unique opportunity to develop your academic skills, contribute to new knowledge, and take part in an inspiring academic environment. About the
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Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators on Earth, capable of accelerating
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Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators on Earth, capable of accelerating
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, Advanced Grant funded by the European Research Council (ERC) in the frame of the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators
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-promoting work (e.g. teaching at the Department). The position is subject to financing by the project “What makes 'Flickering Gamma-ray Flashes' Flicker?” funded by the Research Council of Norway. About the
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the Department). The position is financed by the University of Bergen. About the project/work tasks The PhD project aims to investigate how methods from Scientific Machine Learning (SciML) can enhance modelling