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student at NIH. Employment as a PhD fellowship will be conditional on successful enrolment in the PhD program. Job description Your main tasks as a PhD fellow at NIH are to: Complete an independent research
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models and advanced statistical analyses to field data is necessary. You must have strong quantitative skills, or willingness to learn, including basic competence in the R programming environment. Your
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part in the institutional research area of priority The Digital Society and the new institutional PhD programme, Digitalisation and Society. Perhaps you are the one we are looking for? The PhD candidate
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Administration NAV. Prognostic factors for long-term effects on health and welfare will also be explored. The PhD candidate will be in charge of cleaning, linking and statistically analysing data from the various
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well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team
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the application process to the PhD programme Digitalisation and Society at Østfold University College when starting in the position. The appointment is to be made in accordance with the State Employees law, the act
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requirements Master’s degree/subject at second degree level (120 credits/ECTS) in pharmacy, biomedicine, bioinformatics or similar. In order to gain admission to the PhD programme at the Faculty of Health
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institutions. Be an active participant in the research group Violence, Institutions and Peace (VIP) . Teaching in relevant study programs at the Department. The PhD is obliged to conform with the regulations
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, NTNU. This PhD position is financed via the European Research Council’s Advanced Grant Program. The candidate needs to fulfill the requirements of NTNU for obtaining a PhD. The appointment has a duration
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properly. Please turn on JavaScript in your browser and try again. 13th June 2025 Languages English English English PhD candidate in Statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE