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leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries • High performance computing
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of physiological performance determinants and health markers in young endurance athletes. The place of work is Campus Lillehammer. The duration of the PhD Research Fellow is 4 years, of which 25 per cent of the time
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ability to work independently and as part of a team with minimal supervision. Demonstrated capacity to deliver high-quality project outcomes in a timely manner. Computer programming experience, preferably
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Nanopore Promethion, and Element Aviti) for which the fellow will gain hands on experience with library preparation and sequencing if desired. Additionally, high-performance compute infrastructure is
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for urban First Nations communities. In this role, you will join a collaborative, high‑performing team committed to excellence, innovation and impact. You will help shape a research agenda that strengthens
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of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
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implementation of high-performance transceivers and couplers for vehicular powerlines, working closely with a Research Engineer. Characterize conducted and radiative interference generated by PLC signal
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growth of high-quality mono/few-layer functional transition metal dichalcogenides (TMDCs), combining precursor design and synthesis, electrochemistry, solution and surface computation, advanced
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on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational