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the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All
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Torbein Kvil Gamst 1st February 2026 Languages English English English Faculty of Science and Technology PhD Fellow in AI for Satellite Image Analysis Apply for this job See advertisement
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duties as assigned. Doctoral degree (PhD, DrPH, ScD, or equivalent) in Epidemiology, Public Health, or a related health sciences discipline. Demonstrated experience with quantitative data analysis and
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the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All
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educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates
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, dynamic academic setting. Eligibility criteria Recently obtained PhD (no earlier than 2024), in one of the following fields : Bioinformatics Computational biology Computer science / data science Applied
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) Positions PhD Positions Application Deadline 11 Feb 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 39,4 Offer Starting Date 15 Mar 2026 Is the job
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
the right candidates, we will only use the information for anonymous statistics. We offer A 3-year PhD fellowship with full funding for fieldwork, travel, and dissemination. Supervision and mentorship from
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involves shaping the research direction, helping manage the laboratory team and mentoring Masters and PhD students. The successful candidate will help expand molecular and bioinformatic approaches
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the European Research Council (ERC). The CALIX project seeks to develop, test and implement a new stochastic calving law using a range of remote sensing, statistical and modelling techniques, and to apply