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environment or atmospheric or lightning physics is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Hands-on experience with
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languages aimed at scientific data analysis and visualization is a requirement. Documented general knowledge of the near-earth space environment, atmospheric or lightning physics is an advantage. Documented
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or the adaptation of existing tools and techniques for spatio-temporal analytics, such as representation, exploratory visualization and theories and mathematical model development of spatio-temporal data. Support
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physics is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Hands-on experience with radio, optical, or hard-radiation
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experience from or competence in radiation detectors (design, construction, operations or data analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and
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analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented general knowledge of the near-earth space environment
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requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented activity aimed at the calibration of gamma-ray detectors is an
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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of Informatics. You will be part of Visual Intelligence and the DSB group. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep-learning
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20 Mar 2026 Job Information Organisation/Company University of Bergen Department Department of Cultural History Research Field History Researcher Profile Recognised Researcher (R2) Positions Postdoc