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- University of Oslo
- Norwegian University of Life Sciences (NMBU)
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- NTNU Norwegian University of Science and Technology
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of Chemistry, Biotechnology and Food Science (KBM) has about 180 employees, 80 PhD students and 500 BSc and MSc students. The faculty has 11 research groups within chemistry and biochemistry, microbiology and
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of applicants Eligibility requirements: The applicant must hold a PhD in Journalism, Media Communication, Social Sciences, Humanities, or related fields by the end of June 2026. • The applicant must have a
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, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams • Experience with data science and biodiversity informatics, in particular handling of scientific collection
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Apply for this job See advertisement About the position The Institute for Health and Society is recruiting 1 Postdoctoral Fellow (SKO 1352) with a PhD in either social science or the humanities, to a
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institutions. Qualification requirements We are seeking a candidate with a strong academic background and a PhD in Economics, preferably completed recently or about to be completed, and demonstrated research
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ingredients, and medical and laboratory technology. Further information is available on the department’s homepage: http://www.ntnu.edu/iba . Main duties of the position The interdisciplinary nature
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recruiting 1 Postdoctoral Fellow (SKO 1352) with a PhD in either social science or the humanities, to a project on plastics in healthcare. In this postdoc position, you will join an interdisciplinary and
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cultural development in the life sciences" Apply for this job See advertisement Job description Depending on qualifications, one PhD/postdoctoral research fellowship (SKO 1017/SKO 1352) is available
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Qualification requirements PhD or equivalent academic qualifications with a specialization in computational musicology, computer/data science, informatics, sound and music computing, or other related field
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• Experience with data science and biodiversity informatics, in particular handling of scientific collection data • Solid knowledge of R, python and/or similar programming languages • Experience with