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and Law” https://www.nmbu.no/nyheter/stor-tildeling-til-forsking-pa-skatt . Interested applicants must be therefore interested in one or more of the following topics: how taxpayers avoid and evade
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on the public defence of the doctoral thesis being approved. Strong quantitative and computational skills are required for this position. Applicants should be proficient in R, Python, or equivalent statistical
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, physics, or a related field Strong programming skills in Python and scientific computing in a Linux environment Strong expertise in machine learning and deep learning, including experience developing
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high-performance computing clusters is needed and knowledge of relevant programming languages (Python, Perl, R) is considered an advantage. A in-depth understanding of biochemistry, genomics experiments
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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code
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of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code repositories Proven experience in machine learning method development Fluency in
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data • Solid knowledge of R, python and/or similar programming languages • Experience with teaching scientific methods • Experience with interdisciplinary science • Interaction with nature
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data • Solid knowledge of R, python and/or similar programming languages • Experience with teaching scientific methods • Experience with interdisciplinary science • Interaction with nature
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, statistical modelling, programming in R, Matlab, or Python. Excellent skills in written and oral English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted
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computational researchers across work packages and contribute to the interdisciplinary activities of the convergence environment. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs