39 computer-science-programming-languages PhD positions at University of Bergen in Norway
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, 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. About the PhD position: This project is
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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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Learning, Natural Language Processing, Human-Computer Interaction, Digital Health, Endocrinology Secondments (Preliminary Plan): UiB (Norway): 1–2 months — Patient and caregiver interviews, exploration
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motivated candidates with: Master’s degree (or equivalent) in computer science or a related field Command in software design and development in high-level programming languages Knowledge in model-basedas well
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Aldosteronism (DC5) and the programme webpage: Endotrain Doctoral Training Network | UiB We can offer: Competitive salary according to German Research Foundation (DFG) regulations – “E13 Stufe 2” Full social
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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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computer science or a related field Command in software design and development in high-level programming languages Knowledge in model-basedas well as data-driven artificial intelligence (symbolic AI and machine
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in the structured PhD programme at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships
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who merge 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
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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