38 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" Fellowship positions at University of Bergen
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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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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study programs, including Digital Culture, Art History, Theatre Studies, Comparative Literature, Linguistics, Scandinavian Languages and Literature, Old Norse Studies, and Norwegian as a Second Language
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. About the Department and the Center for Digital Narrative The Department offers research-based teaching within a wide span of study programs, including Digital Culture, Art History, Theatre Studies
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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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awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree related to ALICE or ATLAS. Experience from working with
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written and oral English. Experience from one or several of the following areas is an advantage: Programming, image processing and machine learning. Magnetic Resonance Imaging. Laboratory experience from
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of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and machine learning Personal and relational qualities will be emphasized. Motivation
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demonstrate good collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Programming, image processing and
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be proficient in both written and oral English. Experience from one or both of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and