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potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and and on the targeted promotion of women: https://go.fzj.de
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. Applicants must meet the English language requirements for admission to the PhD programme at the University of Oslo. Information about requirements and possible exemptions can be found here: https
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https://www.jobbnorge.no/en/available-jobs/job/290604/phd-fellow-in-multi-hazar… Requirements Research FieldTechnology » Information technologyEducation LevelMaster Degree or equivalent Research
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inclusive. This PhD position has a genetics-oriented focus. The PhD fellow will work with large-scale longitudinal and family-based data, including genomic data, population registers, and cohort studies
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: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is therefore important that
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
it. Apart from selecting the right candidates, we will only use the information for anonymous statistics. UiT via Unsplash UiT We offer A 3-year PhD fellowship with full funding for fieldwork, travel
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to work with large-scale longitudinal data, perform statistical analyses, and write articles on HC use and its association to mental health and wellbeing outcomes that will be the basis of the PhD
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: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is therefore important that
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Edvard Kristiansen Qualifications The successful applicants must fulfil the requirements for admission to the Faculty's PhD programme. Information about requirements is available here . The applicants must
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application development. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data