12 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Bergen
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of work is Bergen, Norway. About the PhD programme: As a PhD Candidate, you must participate in an approved educational programme for a PhD degree within a period of 3 years. When your qualification
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than one fixed term period at the same institution. Place of work is Bergen, Norway. About the PhD programme: As a PhD Candidate, you must participate in an approved educational programme for a PhD degree
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years. Starting date is August 2025. About the PhD training: As a PhD research fellow, you will take part in the PhD programme at the Faculty of Social Sciences, UiB. The programme corresponds to a period
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PhD position: The duration of the PhD position is 3 years. Starting date is August 2025. About the PhD training: As a PhD research fellow, you will take part in the PhD programme at the Faculty
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application. Please note that the automatic recognition offered by HK-dir insufficient and will not be accepted as basis for admission to the PhD programme. Applicants with education from a Nordic country or
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to partners in the USA or other countries. It is expected that the PhD candidate contributes to a social and interdisciplinary research environment and should know, or be willing to learn, the Norwegian
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basis for admission to the PhD programme. Applicants with education from a Nordic country or medical degree from the EEA area and a license to practice medicine in Norway are exempt from the requirement
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under the “Cryptographic elements of trustworthy AI” project. The main research objectives for the project are the following: Analyze security of Machine Learning (ML) models against data modifications
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required. Experience with finite-element method (FEM) and boundary-element method (BEM) is required. Experience with supervised machine learning in aeroelasticity is required. Programming skills, e.g
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partake in duties, participate in committees etc. within the UiB. The researcher is normally not obliged to teach but is expected to partake in the supervision of masters and PhD students, to the extent