69 parallel-and-distributed-computing-"Meta"-"Meta" positions at University of Bergen
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an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start
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Digital Narrative At the Department of Linguistic, Literary and Aesthetic Studies , there is a vacancy for a postdoctoral research fellow position within Digital Narrative (computational narrative systems
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contact information for two referees. One of these should be the main advisor from the PhD programme. CV (preferably uploaded as a separate attachment, maximum 4 pages) transcripts and diplomas. If you have
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at the Department). The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology Unit , in collaboration with Prof. Odd André Karlsen
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applicant's research interests and motivation for applying for the position. the names and contact information for two referees. One of these should be the main advisor from the PhD programme. CV (preferably
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. If the successful applicant is qualified for teaching compulsory courses in the master’s program at the Faculty of Law, the position may be extended to 4 years for career promoting activities with emphasis
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basis for admission to the PhD programme. Applicants with education from a Nordic country or medical degree from the EEA area and a license to practice medicine in Norway are exempt from the requirement
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. The position is for a fixed term of 3 years and is associated with the Computational Biology Unit (CBU, https://cbu.w.uib.no/ ), financed by University of Bergen. The position is open to an incoming candidate
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). 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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. Addressing housing-related health risks in the USA, Vietnam, Turkey, and Ecuador, the project integrates community engagement, data science, and computational modeling. The key objectives of ComDisp