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–control study with collection of wearable data and hormone profiles in healthy individuals and patients Integration of physiological data from wearable devices (e.g., activity, heart rate, temperature) with
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profiling technology Integrate and analyse multi-modal data (hormones, wearables, questionnaires). Collaborate with mathematical modellers to interpret findings. Disseminate results through publications and
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description of steroid enzyme mediated synthesis in the cortex of a healthy adrenal gland and implementing them into numerical simulation codes for handling complicated spatial profiles. Validating the models
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different replacement therapies affect immune function and metabolism in patients with primary adrenal insufficiency. The project combines inflammation- and metabolism-related omics, dynamic hormone profiling
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steroid rhythmicity and environmental challenges (i.e. salt intake). About the project/work tasks: Key activities: Leverage dynamic hormone profiling (e.g., U-RHYTHM) and next-generation biosensors
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12 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Physics Research Field Physics Researcher Profile First Stage Researcher
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12 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Physics Research Field Physics Researcher Profile First Stage Researcher
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5 Dec 2025 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Arctic and Marine Biology Research Field Biological sciences Researcher Profile
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» Chemical engineering Physics Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 25 Jan 2026 - 23:59 (Europe/Oslo
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 30 Nov 2025 - 18:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 40