41 data-"https:" "https:" "https:" "https:" "Brunel University London" PhD positions at University of Bergen
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15th February 2026 Languages English English English PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9) at the University of Ulm, Germany (ENDOTRAIN) PhD-position
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15th February 2026 Languages English English English PhD Research Fellow in Patient control of their health data used for research and treatment purposes at the Faculty of Law, University of Bergen
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clinical 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
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monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into
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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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adrenal insufficiency using real-world, continuous data streams. The rationale is to investigate how cortisol levels influence tissue glucose, blood pressure and sleep (sleep radar) and how it correlates
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15th February 2026 Languages English English English PhD Research Fellow in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (DC7) (ENDOTRAIN) PhD position
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treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology
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education to working life. The PhD supervisor will be Senior Researcher Ingunn Ness. Please contact her for more information about the project. About the work tasks: investigate how multi-agent ecosystems
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“Regulatory Case Studies” led by professor Malgorzata Cyndecka. The theme of the PhD project is challenges and opportunities raised by the nature, use and regulation of synthetic data in light of, in