15 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" PhD research jobs in Norway
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to SAFE. Delivering EVU course from SAFE center. Required selection criteria A PhD degree (or equivalent) in biometrics, information security, computer science, electrical engineering, or machine learning
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. Strong (inter-)national network in field of application. Experience with high-performance computing (HPC) and large datasets. Experience with machine learning applied to geophysical signals. Experience in
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well as innovative and inquiry-based teaching and learning. The Faculty consists of six departments as well as a Faculty administration. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296312/phd
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models with drone imagery using machine learning techniques and data assimilation. The work will involve collaboration with an interdisciplinary team of researchers, engineers, and local stakeholders in a
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for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality. Where to apply Website https://www.jobbnorge.no/en
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of these groups is invited for an interview as part of our commitment to inclusivity and equal opportunity. For further information about the recruitment process, click here . Where to apply Website https
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PhDs, that together will work and learn as an international cohort and collaborate across projects to bring together insights anchored in different sectors and countries. The candidates will conduct
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. TIK is home to 40 staff members working in research, education and research communication in innovation and science and technology studies (STS). A major part of TIK’s activity is externally funded
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society (STS). The thesis should be within a specialisation of relevance to the project. Applicants must have fluent oral and written communication skills in English and speak a Scandinavian language
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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