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the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will develop and employ a variety of computational biology techniques to perform antibody design
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qualifications: Strong programming skills Experience with handling large data sets Experience with high-performance computing Familiarity with Earth System Models in general, and NorESM in particular Strong track
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high-performance computing Familiarity with Earth System Models in general, and NorESM in particular Strong track record of relevant peer reviewed publications All candidates and projects will have to
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accordance with the needs of the Department of Psychology. The candidate will have specific obligations to teach students at the professional program on topics covering clinical neuropsychology, including
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quality assurance, requiring close collaboration with the Principal Investigators. Responsibilities will include data cleaning and management, performing quality checks, conducting statistical analyses
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high performance an advantage. The candidate must have proof of excellence in research as demonstrated through publications in refereed journals and presentations at scholarly conferences
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of tools or performing analysis in Python and R is an advantage excellent oral and written communication skills in English skills in written and oral Norwegian/Swedish/German are of advantage Personal
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that are commonly used in the group include Python, high-performance computing, MPI, OpenMP, Commander, Git, and LaTeX. Familiarity with some of these concepts will be an asset, but is not required at the time of
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assimilation, inverse modeling, and/or probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance an advantage. The candidate must have proof
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research profile with excellent documented potential for performing high-quality research. Topics of relevance that speak to ongoing research in the group involve the study of psychological phenomena related