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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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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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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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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 qualifications
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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
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immunology is an advantage. Experience in high-performance parallel computing is an advantage. Experience with machine learning and or other mathematical approaches used in (bulk and single-cell) immune
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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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are eligible for appointment. Fluent oral and written communication skills in English. Desired qualifications: Specific technologies that are commonly used in the group include Python, high-performance computing
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of high-affinity antibodies without triggering autoimmunity. To address this, our research program heavily focuses on studying T and B cell population dynamics through intravital 2-photon imaging and the
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Country Norway Application Deadline 18 Sep 2025 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not