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. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured
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oppdatert 02.08.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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01.07.2025. It is a condition of employment that the master has been awarded before employment. Documented knowledge on renewable energy is required. Experience and proven knowledge in scientific programming
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An exciting job with an important social mission An engaging scientific environment with a strong and international team Career guidance throughout the postdoctoral program and together with you we will prepare
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mortality. About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and mobility fellowship program for training 19 postdoctoral fellows in artificial intelligence. The program has
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% teaching component. The Department teaches in all the sub-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political
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din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en
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to submit a professional development plan no later than one month after commencement of the postdoctoral period. Qualifications The Faculty of Mathematics and Natural Sciences has a strategic ambition to
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to the university’s doctoral programme in Technology within three months of accession in the position. For admission to the Programme the wighted average grade is B or higher is usually required. Co-operation between
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cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g., Python, Matlab, R) is required. Knowledge of climate