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of hormone rhythms. For further details, please visit our webpages Optimized monitoring of patients with primary adrenal insufficiency (DC1) and the programme webpage: ENDOTRAIN Host Institution University
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PhD Research Fellow in Optimized monitoring of patients with primary adrenal insufficiency (DC1) at the Faculty of Medicine, University of Bergen, Norway PhD-position at the Faculty of Medicine
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31st January 2026 Languages English Norsk Bokmål English English Molde University College announces PhD position in Logistics focusing on optimization for humanitarian logistics and crisis
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(with possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich
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, energy and weather optimal voyage planning including wind assisted propulsion, enhanced situational awareness for safe navigation, and predictive management of green energy storage systems. The PhD
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date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich This position is part of 19 PhD Fellowships
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(NFR). DYNCAT aims to develop highly predictive, physics-based and AI-enhanced computational models to study and optimize the Rochow-Mülller process, which produces the raw material for silicone
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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 Europe
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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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resources, price services, manage risk, optimize asset portfolios, and develop new revenue models. Yet the financial impacts of AI remain poorly understood, and companies face substantial uncertainty when