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Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration: Extensive technical and
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for medical time-series. Cutting-Edge Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration
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years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at the University of Bergen. About the project/work tasks: This position is part of: 19 PhD
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. Eystein Husebye (UiB) Location: Spain Duration: 3 years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at the University of Bergen. About the project/work
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in
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generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal
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-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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common and widespread species complexes, collections of which are hard to interpret and often remain unidentified. In order to assess the threat status of species and incorporate data into broader regional
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. Yet, they remain taxonomically underexplored in Norway due to cryptic diversity, morphological plasticity, and unresolved species complexes. Molecular databases currently lack adequate representation