221 computer-science-intern-"https:"-"https:"-"https:"-"Linnaeus-University" Fellowship positions in Norway
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260 from more than 30 different countries. The Department aims to maintain high international standards within both research and teaching. The new bachelor program in bioscience is the first of its kind
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admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research, participation in national
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, the work includes experimental work at international accelerator laboratories (CERN, SLAC, DESY and Daresbury) as well as high-performance computing work on supercomputers (LUMI). For this position, we
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participation in the Faculty of Social Sciences' organised research education programme (PhD programme) and the completion of a doctorate in sociology. The candidate who is hired will automatically be admitted
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communication in innovation and science and technology studies (STS). A major part of TIK’s activity is externally funded research. TIK also offers postgraduate education; a PhD-programme and two Master
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external collaborators, attend international conferences and workshops. The project will support research visits and joint activities with research tasks-related collaborators. Prof. Li, together with 2
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motivated Postdoctoral Fellow with strong expertise in RNA-seq and multi-omics data analysis. Candidates should be proficient in Python and/or R and have a solid background in Biology, Computational Biology
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description of the project. The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme) and the completion of a doctorate in sociology. The
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structural equation modelling Write at least 4 scientific articles as first author Communicate results in various national and international scientific journals and popular science forums Present
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive