187 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" scholarships in Norway
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- NTNU - Norwegian University of Science and Technology
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includes around two dozen PhD students, Post-Doctoral and Research Fellows, and Associate Professors II. Read more about HUP section at: https://www.sv.uio.no/psi/english/about/organization/sections/hup
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(ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning
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have a minimum TOEFL score of 575 (written test)/233 (computer-based test)/90 (internet-based test) or a IELTS score of 6.5. In some cases, applicants can request a waiver from TOEFL/IELTS by submitting
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Website https://www.jobbnorge.no/en/available-jobs/job/296781/sfi-fast-phd-candidate-in… Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Additional Information Work Location(s
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Computer science Engineering » Computer engineering Technology » Information technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 Feb 2026 - 23:59 (Europe/Oslo
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of Visual Intelligence is to develop novel, innovative solutions based on deep learning to extract knowledge from complex image data. Deep learning, aided by machine learning techniques in general, has led
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, with about half being women. It also includes around two dozen PhD students, Post-Doctoral and Research Fellows, and Associate Professors II. Read more about HUP section at: https://www.sv.uio.no/psi
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550 800 per year. If you wish to apply for the position, please apply electronically by clicking the button at the bottom of the page. Where to apply Website https://academicpositions.com/ad/oslo
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position (see: https://www.ntnu.edu/studies/phd/regulations ). Preferred selection criteria Experience with digital
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economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project