34 computer-programmer-"the"-"FEMTO-ST"-"PDI-Service"-"https:"-"Inserm"-"VinUniversity" positions at University of Bergen
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programme of the Medical School, NKUA. About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN
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will be enrolled in the structured PhD programme of the Medical School, NKUA. About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at the University of Bergen. About the project/work tasks: This position is part of: 19 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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(with possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich
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The students will be enrolled in the structured PhD programme of the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich This position is part of: 19 PhD Fellowships available in Digital Endocrinology
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. Eystein Husebye (UiB) Location: Spain Duration: 3 years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at the University of Bergen. About the project/work
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Adrenal Diseases) , and is scheduled to start in August 2026. The position is funded by European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie (Grant Agreement
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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 health in Europe
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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