22 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ"-"Univ"-"Univ" positions at University of Bergen
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to inclusivity and equal opportunity. For further information about the recruitment process, click here . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/297764/associate-professor-in-in
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Additional Information Work Location(s) Number of offers available1Company/InstituteAI LEARN centreCountryNorwayCityBergenGeofield Contact City Bergen Website https://www.uib.no/en/charterandcode Street
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for analysis (including wet-sieving sediment samples, picking foraminifera under a microscope, cleaning, and weighing) Scientific data analysis and interpretation, also possibly in collaboration with climate
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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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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