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monitoring and subsea installations. The applicant for the PhD position is expected to contribute to existing and future projects with additional analyses and modelling based on collected data from
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) in bioinformatics, computational biology, data science, or related fieldsForeign completed degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system
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. More information about this can be found at: PhD in Professional Science (nord.no). In consultation with supervisors, the PhD fellow will develop a final project description within the framework
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of Informatics, Uni-versity of Oslo, and will be part of a growing research agenda at the intersection of epidemiology, statistical modeling, machine learning and public health data systems. The project aligns
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utilise new flux tower data in high-altitude and high-latitude areas inclusion of lateral riverine and biomass fluxes into carbon budgets provide baseline data for the inclusion of ocean and coastal carbon
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teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant scheme can be found here . The workplace is at UiT in Tromsø. You must be able
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. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may
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computing technologies in medical contexts. This could include issues such as equity/discrimination, data ownership, unexpected implications of the AI Act for mental healthcare, and other issues of relevance
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. The completion grant should be used to further qualification measures such as courses in teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant
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courses in teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant scheme can be found here . The workplace is at UiT in Tromsø. You must