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disruptions data and network analysis, the candidate should have a strong background in network modelling and coding. The selected candidate will also have excellent leadership ability/potential and strong
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spoken English) . It is preferable that the candidate has (and can document): a strong academic track record experience in collection-based research (both physical and/or digital) teamwork and networking
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project funded by the sustainability initiative at UiO. The project will provide a fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development
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of linear wave equations and boundary element techniques as well as their high-frequency approximations. Furthermore, the candidate will be expected to extend the existing code in order to apply the developed
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record direct work with or documented collaboration with research on sediments and modelling international research networks Personal qualifications and suitability will be emphasized. You will collaborate
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, especially in the Nordic countries, where destination management organizations (DMOs) are often publicly owned but closely linked to the tourism industry. The public leadership creates complex networks of co
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
into corporate sustainability strategies poses a significant barrier to achieving net-zero emissions goals. We are seeking a candidate with a focus on sustainability in finance to explore the following possible
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of linear wave equations and boundary element techniques as well as their high-frequency approximations. Furthermore, the candidate will be expected to extend the existing code in order to apply the developed
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optical instrumentation, software development, handling of biological samples and their preparation is required. Proficiency with microscopy, particularly FLIM and TPM, is highly desirable. Skills in coding
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@oslomet.no OsloMet is a Charter & Code certified institution by the EU Commission holding the right to use the logo HR Excellence in Research (HRS4R). OsloMet is a member of the EURAXESS network supporting