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equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, computational biology, or a related field, with a strong quantitative background. Doctoral dissertation must be submitted
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The applicant’s academic attitude and motivation regarding completing the research training program Documented experience with research within the educational field, preferably learning sciences or educational
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an interdisciplinary and international team of experts in antibiotic drug discovery, molecular simulations, structure-based drug design, covalent enzyme inhibition, organic synthesis, and medicinal chemistry. We will
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is a new initiative that organises the local bioinformatics community and drives bioinformatics innovation by integrating computational and biological sciences to address complex life science
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, Physical Oceanography or Marine Biology/Ecology/Biogeochemistry. It is not necessary to have experience with biogeochemistry beforehand, but an interest in biogeochemical cycles is expected. However, it is
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with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in Artificial Intelligence Computer Science Foreign completed degree (M.Sc.-level) corresponding to a
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Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in
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computational and biological sciences to address complex life science challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project
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qualities Applicants must hold a Norwegian PhD or an equivalent degree within marine biogeochemistry, oceanography, climate sciences, or related fields, and must have submitted his/her doctoral thesis