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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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experiments, and evaluate and compare their performance. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in mathematics or in computer science with a
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topological defects and alignment patterns The project offers close interaction with experimental biology, theoretical physics, and computational modeling in a strongly interdisciplinary research environment
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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of Informatics. The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period can be extended either for compulsory work consisting of e.g
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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of results through high-quality peer-reviewed publications. via Unsplash Qualifications Required A PhD in statistics, mathematics, informatics, genetics, medicine, psychology, or an equivalent field. Strong
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. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The DSB research group has seven full
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Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo
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Torbein Kvil Gamst 1st February 2026 Languages English English English Faculty of Science and Technology PhD Fellow in AI for Satellite Image Analysis Apply for this job See advertisement