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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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is a lively and research-oriented group of scientists and support staff with a broad interest in information processing in humans and computers, and a particular focus on the signals they exchange, and
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comprehensive training in translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong
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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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cloud data centres. However, this can come at the cost of performance and slower function processing, which manifests as higher energy consumption and increased operational costs (OpEx) for operators. So
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in day-to-day tasks, including conducting research, acquiring and analyzing data, drafting manuscripts, and collaborating with interdisciplinary teams on various projects in the field of quantitative
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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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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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Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan, execute, and troubleshoot research projects with attention to rigor and reproducibility. • Stay