137 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD positions in Norway
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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mathematics, data and computer sciences, and biomedical engineering. The PhD candidate will be based at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/), which has a long
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: 31.03.2026 Starting date: January 2027 or by agreement Questions about the position Kari Storstein Haug Professor +4745233984 kari.haug@vid.no Where to apply Website https://academicpositions.com/ad/vid
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Website https://www.jobbnorge.no/en/available-jobs/job/292474/researcher-at-the-departm… Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Research FieldBiological
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collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics
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, https://hkdir.no/en/foreign-education . A grade average of B or better (or equivalent score) is required for both the program overall and the master’s thesis. The grades at the qualifying MSc examination
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Physiology, Internal Medicine Secondments : - University of Bergen (N): To screen and characterise patients with PAI. - University of Manchester (UK): To learn mathematical modelling of hormone rhythms
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calculations Knowledge about machine learning application in condensed matter Knowledge about magnetism, superconductivity, and topological order Personal characteristics We are looking for a candidate who is
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research and academic bodies. This collaboration is centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial
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methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information