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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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communications, and can be used to diagnose diseases, while microbacteria are important for research on antibiotics resistance. The main task for this position is to design, fabricate and optimize a photonic
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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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: Hormone Dynamics of the ENDOTRAIN network and focuses on optimizing the diagnosis of primary aldosteronism using real-world, continuous physiological and hormonal data streams based on chronobiologic
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focuses on optimizing therapy monitoring and individualized treatment in primary adrenal insufficiency using ambulatory endocrine and real-world, continuous datastreams based on chronobiologic rhythmicity
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therapies in female patients with adrenal hormone deficiency can be optimized to maintain or restore fertility. Fertility, influenced by hormones, environment, and psychology, is often reduced in
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Models) of the ENDOTRAIN network and aims to investigate in terms of computational modelling how glucocorticoid replacement therapies in female patients with adrenal hormone deficiency can be optimized
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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
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focuses on optimizing the diagnosis of primary aldosteronism using real-world, continuous physiological and hormonal data streams based on chronobiologic steroid rhythmicity and environmental challenges
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advancing digital health in Europe. About the PhD position : This project is part of Work Package 1: Hormone dynamics within the ENDOTRAIN network. This PhD project focuses on optimizing therapy monitoring