13 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " PhD research jobs in Norway
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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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Africa and Europe. The network will consist of 15 PhDs, that together will work and learn as an international cohort and collaborate across projects to bring together insights anchored in different sectors
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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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HEALENAE: Health and Environment in Africa and Europe. The network will consist of 15 PhDs, that together will work and learn as an international cohort and collaborate across projects to bring together
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, food, water, health and welfare. The Faculty consists of eight departments as well as the Faculty Administration. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294013/researcher
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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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Website https://www.jobbnorge.no/en/available-jobs/job/291178/researcher-1109-in-data-d… Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation
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at UiT: http://uit.no/mobility According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where
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collaborative EU funded doctoral training network HEALENAE: Health and Environment in Africa and Europe. The network will consist of 15 PhDs, that together will work and learn as an international cohort and