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mathematics, statistics, and health economics. Description of Positions Job responsibilities Obtain external funding for research projects utilising data from Electronic Patient Journals (EPJ) merged with
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language must be uploaded at Jobbnorge. General information: For further details about the position, please contact Professor Ruth-Anne Sandaa, Department of Biological Sciences, University of Bergen
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Theme at Integreat, led by Professor Anna Smajdor, as well as with machine learning experts across Integreat research themes. More about the position Machine learning is the mathematical and computational
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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
Technology, Professor Olav Gaute Hellesø: olav.gaute.helleso@uit.no . Edvard Kristiansen via Unsplash Edvard Kristiansen Qualifications We are particularly seeking candidates with solid background in machine
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position Machine learning is the mathematical and computational engine of Artificial Intelligence (AI). It is a fundamental force of technological progress in our increasingly digital, data-driven world
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24th June 2025 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a Postdoctoral Fellow in Extrusion of recycled aluminium Apply for this job
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commencement that the fellow is admitted to UiA's PhD program at the Faculty of Health and Sport Sciences, specializing in Health and Nursing Science. For questions about the PhD program, contact PhD-programme
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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previously been employed in a qualifying post (e.g. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a
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visions is to use artificial spin systems as a platform for efficient and powerful data analysis at all scales, ranging from low-power computation in the simplest sensor node to accelerated data processing