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& Engineering Supervising Principal Investigator: Professor Alex Rothman Research project area: Pulmonary Hypertension (PH) The fellow will work on an MRC funded study involving the implantation of pulmonary
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active contribution to the principles of the ‘Sheffield Academic ’. ● Plan for specific aspects of the research and consultancy programme, such as proposal submission, data collection, analyses and
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of genomic data. The candidate will join a collaborative and interdisciplinary team with expertise in Arctic biology, genomics, and evolutionary theory, and will have the opportunity to conduct a research stay
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stratigraphy and/or geochemistry will be an asset. Qualification requirements: Master’s degree or equivalent in physics, process technology, or computational geosciences Foreign completed degree (M.Sc.-level
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requirements: Master’s degree or equivalent in physics, process technology, or computational geosciences Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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), from Professor Arto Klami at the Faculty of Science (computer science) (arto.klami(at)helsinki.fi ), and about the recruitment process from HR Specialist Jussi Hartikainen, (jussi.a.hartikainen
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of Bergen. The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology Unit. The position is affiliated to theproject Life
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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the Department). The position is funded by the University of Bergen. The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology