40 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship positions at University of Bergen in Norway
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candidates will be called in to an interview. For further information about the appointment process, click here. Formal regulations: It is a requirement that the postdoctoral project is completed during
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information about the appointment process is available here. Formal regulations: Applicants who have previously held a postdoctoral fellowship at the University of Bergen are not eligible to apply
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information for two referees. One of these should be the main advisor for the master's thesis or equivalent thesis CV transcripts and diplomas showing completion of the bachelor's and master's degrees. If you
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into account when ranking the candidates. the names and contact information for two referees. One of these should be the main advisor for the master's thesis or equivalent thesis. CV transcripts and diplomas
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, you should address the "advantages" mentioned above, as these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main
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. the names and contact information for two referees. One of these should be the main advisor for the master's thesis or equivalent thesis CV transcripts and diplomas showing completion of the bachelor's and
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, explaining how you meet each criterion. Additionally, you should address the "advantages" mentioned above, as these will be taken into account when ranking the candidates. the names and contact information
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to an interview. Further information about the appointment process is available here. Formal regulations: Applicants who have previously held a PhD fellowship at the University of Bergen are not eligible to apply
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these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main advisor for the master's thesis or equivalent thesis CV
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solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we