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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 oversikt over besøkene dine på
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capabilities of consequence models through blind-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling
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experience working with climate models, preferably on model development and/or data assimilation a strong background in computer science, and good programming skills, to suit the Department of Physics at UiT
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teaching Experience with water infrastructure modelling with a focus on computational methods A strong link to the topic interdependence and cascading effects in Urban infrastructure Systems. A strong
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20th June 2025 Languages English English English PhD Research Fellow in towards battery digitalization: a continuum physics-based model development Apply for this job See advertisement About the
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System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication
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integrating wind farm wake effects into a climate model to evaluate climate-energy interactions. Findings will inform studies on co-located multi-source energy systems at large wind park sites. Using advanced
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the long-term climate impacts of large wind park clusters, starting with individual wind parks. The first phase involves integrating wind farm wake effects into a climate model to evaluate climate-energy
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the Department). The position is funded by the University of Bergen. The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology
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of Bergen. The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology Unit. The position is affiliated to theproject Life