393 computer-science-intern-"https:"-"https:"-"https:"-"BioData"-"BioData" positions in Norway
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Carry out research of good quality within the framework described above Academic publications and popular science dissemination Participate in the research group SmallSatLab . Participate in international
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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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-year program is designed for talented students who wish to pursue an international career within academia and who can contribute to the international arena with their research and publications
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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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Master’s degree (120 ECTs) in neuroscience, biology, medicine, computer science, physics or engineering, or closely related fields. Minimum grade B (ECTS grading scale). The Master’s degree must include a
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Technology. Participate actively in project meetings and workshops, research stays with relevant project partners, as well as in international conferences. Teaching duties to be clarified, if relevant. Be
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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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popular science dissemination Participate in the Signal Processing group Participate in international activities such as conferences and/or research stays at foreign educational institutions Be prepared
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position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Science
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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