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, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects in this area and will work
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(ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital
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with numerical modeling, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in
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Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital medicine is
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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, CVPR, ECCV, PR, or PRL. Experience in leading and coordinating research projects. Experience in biometric data acquisition, sensor calibration, and dataset management. Expertise in deep learning, GenAI
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will be integrated into the networks of UiT and the Arctic Science Partnership. Thesis work will be part of the Micro-SHIFT project, led by Associate Professor Karley Campbell. The applicant must present
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will be integrated into the networks of UiT and the Arctic Science Partnership. Thesis work will be part of the Micro-SHIFT project, led by Associate Professor Karley Campbell. The applicant must present
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will be part of a network of young researchers in deep learning in the Visual Intelligence Graduate School https://www.visualintelligence.no/about/vigs Jarli & Jordan/ UiO via Unsplash Jarli & Jordan