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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We welcome your application for a PhD research fellow position within
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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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background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the Faculty of Engineering doctoral programme: PhD
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innovation programme under the Marie Skłodowska-Curie (Grant Agreement No.: 101227148) The position is one of 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral
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used to implement the project Mentor programme as a new employee at NTNU Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) Free Norwegian language training at a basic level
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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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the requirements for admission to the Faculty's Doctoral Programme . You must have English language skills, both written and spoken, corresponding to the scale B2 in the Common European Framework
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or physical chemistry, a keen interest in programming, and high motivation to develop novel AI-driven computational models for physical processes with real-world industrial applications. The candidate will also