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. The project is funded by the Trond Mohn Research Foundation and led by Dr Leonardo M. Pichel with coinvestigators at the University of Bergen (Profs. Ritske Huismans and Rob Gawthorpe), University of Manchester
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internal architecture of deformed salt bodies. The project is funded by the Trond Mohn Research Foundation and led by Dr Leonardo M. Pichel with coinvestigators at the University of Bergen (Profs. Ritske
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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
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. The candidate must have strong programming skills in one or more languages (e.g., Python,MATLAB, Fortran, C++). Strong analytical skills and capabilities in data processing and mathematical modelling are required
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project called Commander, with Prof. Hans Kristian Eriksen serving as PI. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Project description
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on MATLAB, Python, Julia, Javascript, DigiSilent Power Factory. Possesses a strong academic record, with relevant experience in either industry or academia, and can show experience from paper publishing. Has
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at the Department). The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology Unit , in collaboration with Prof. Odd André Karlsen
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of Bergen (Profs. Ritske Huismans and Rob Gawthorpe), University of Manchester (Prof. Cathy Hollis), University of Oslo (Prof. Jan Inge Faleide) and Imperial College (Prof. Chris Jackson). About the project
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a