60 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at University of Bergen
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Research School ChemSchool – Norwegian Graduate School in Chemistry. For further information about ChemSchool see Kjemi 2025, 85 (6), 19-21 (in Norwegian). Qualifications and personal qualities: Applicants
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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address the "advantages" mentioned above, as these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main advisor
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policy analysis. The project’s PI is Associate Professor Iselin Åsedotter Strønen. For more information about the project, see In/visible women of the sea. Gendering fishery politics and advocacy (GENMAR
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on respiratory disease in a longitudinal perspective. It will be based on data from a large cohort of individuals extending back to 1990 from the Respiratory Health in Northern Europe (RHINE) study, as
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/or climate dynamics is a requirement. Experience in statistical analysis of ocean/climate data (observations or model output) is a requirement. Experience in scientific programming (e.g., Matlab
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of the underwater environment and marine installations. The system must be flexible, distributed, robust, energy-efficient, cost-effective, and secure, and be able to handle large volumes of data. Acoustic
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equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior
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to an interview. Further information about the appointment process is available here. Formal regulations: Applicants who have previously held a PhD fellowship at the University of Bergen are not eligible to apply
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treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology