159 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" PhD scholarships in Norway
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- NTNU - Norwegian University of Science and Technology
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of two departments at the NTNU University Museum. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407646/phd-candidate-in-hu… Requirements Additional Information Work Location(s
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for a PhD education Master students can apply, but the MSc degree must be obtained and documented by 1st of July 2025 You must meet the requirements for admission to the faculty's doctoral program (https
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of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294565/phd-candidate-in-cost-eff… Requirements Research FieldEngineeringEducation
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, currents, water levels, wind, and ice. Machine learning models will be developed to forecast future variations in such dynamic conditions and to incorporate the operational state of the vessel into routing
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syndrome (PCOS) who have participated in different clinical studies based at NTNU/St. Olavs hospital since the early 2000s. Data from the HUNT4 Survey (the fourth survey of the Trøndelag Health Study) will
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. Kai Sandvold at the Department of Chemistry and Biomedical Science, NTNU as well as the clinical academic group for multiple myeloma research at NTNU and St. Olav’s University Hospital. The position is
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research disciplines. For further information about the different research disciplines see https://www.ntnu.edu/imf/research . Are you motivated to take a step towards a doctorate and open exciting career
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the research fields of cardiovascular biomarker research and cardio-oncology. You can find more information about the research group here: https://www.med.uio.no/klinmed/forskning/grupper/kardiovaskular-crg
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information can be found here: https://www.ntnu.edu/mai Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above
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researchers. The centre is internationally recognized, with interests spanning a broad range of research areas in biostatistics, machine learning and epidemiology and numerous collaborations with leading bio