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collaboration between the department of physics / QuSpin (Professor Erik Wahlström - 1 PhD student and 1 PostDoc) and department of electronic systems and the oxide electronics group (Professor Thomas Tybell, 1
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fashion. This understanding is key for advancing our ability to both simulate and assess extreme events using numerical models. Current approaches for precursor identification rely on expert knowledge
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(floods, droughts, blizzards, windstorms) to employ such simulations in a reliable fashion. This understanding is key for advancing our ability to both simulate and assess extreme events using numerical
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collaboration between the department of physics / QuSpin (Professor Erik Wahlström - 1 PhD student and 1 PostDoc) and department of electronic systems and the oxide electronics group (Professor Thomas Tybell, 1
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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the yet unexploited potential of powerful, large-scale narratives from the past and today, which have the potential to activate new ways of thinking about and relating to our environment. UiO/ Anders Lien
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the LEAD AI webpage or send an email to [email protected]. Qualifications and personal qualities Applicants must hold a Norwegian PhD or an equivalent degree within organic synthesis or medicinal chemistry
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interdisciplinary communication and reach our research goals. Testing in biochemical assays will be carried out by other project members as well as external partners. You are expected to co-supervise PhD- and MSc
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postdoc's and 9 PhD candidates, in addition to the research assistants responsible for data collection. Your immediate leader is Head of Department. Duties of the position Reviewing relevant theory and