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Transformations Apply for this job See advertisement About the position The Department of International Environment and Development Studies (Noragric), Faculty of Landscape and Society at the Norwegian University
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available at the Institute of Clinical Medicine at University of Oslo, as part of the research project BRAINGAP, which seeks to uncover the genetic architecture of brain imaging phenotypes. The research is
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collaborate with an experimental group that conduct electrochemical testing of lab-built supercapacitor cells. We look forward to receiving your application and welcoming you to our team. Main tasks Description
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research institute, with expertise in a wide range of fields and strong communities of knowledge. We deliver research and innovation in energy, health care, climate, the environment, society and technology
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transcriptomics and T-cell receptor clonotypes Analyze gut microbiota with the latest bioinformatics tools. Requirements: The ideal candidate should meet the following criteria: Applicants must hold a PhD degree in
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environment To assist MSc and PhD students To write and conceptualize scientific publications Required selection criteria A researcher position is a position in which the main objective is qualification
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Qualifications and personal qualities Applicants must hold a Norwegian PhD or an equivalent degree within law, or must have submitted his/her doctoral thesis for assessment prior to the application deadline. It is
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opportunities For more information see the LEAD AI webpage or send an email to leadai@uib.no Qualifications and personal qualities Applicants must hold a Norwegian PhD or an equivalent within psychology
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webpage or send an email to leadai@uib.no Qualifications and personal qualities Applicants must hold a Norwegian PhD or an equivalent within psychology, neuroscience, educational sciences, or other AI
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candidates, regardless of background, to apply. Qualifications: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, Genetics, or a related field. Proficiency in Python and/or R etc