49 parallel-processing-bioinformatics-"Multiple" Fellowship positions at University of Bergen
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cultural contexts in which digital narratives are received and processed. The CDN investigates the ways that the interactions of human authors and non-human agents renew narrative forms, how digital
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. About the project/work tasks: The position is affiliated with the research group for Energy and Process Safety (EPT) and is funded by the Faculty of Science and Technology as part of the in-kind from
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graduates to people with relevant experience from industry. About the project/work tasks: The position is affiliated with the research group for Energy and Process Safety (EPT) and is funded by the Faculty
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transport processes in porous media is a requirement. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must be proficient in both
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to the application deadline. It is a condition of employment that the master's degree has been awarded. Experience from or competence in flow and transport processes in porous media is a requirement. Applicants must
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degree has been awarded. Experience from or competence in flow and transport processes in porous media is a requirement. Applicants must be able to work independently and in a structured manner and
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or competence in flow and transport processes in porous media is a requirement. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must
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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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condition of employment that the master's degree has been 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
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languages (e.g., Python,MATLAB, Fortran, C++). Strong analytical skills and capabilities in data processing and mathematical modelling are required. Experience with weather or climate models is an advantage