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Universität Berlin (Department of Biology, Chemistry, Pharmacy; Department of Mathematics and Computer Science) and Max Planck Institute for Molecular Genetics . You have: an above-average master's or
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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
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: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial Intelligence, Machine Learning, and Natural
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for medical time-series. Cutting-Edge Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration
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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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generation 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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approaches. Qualifications and personal qualities: Required: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial
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] Subject Areas: Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics Appl Deadline: 2026/01/08 11:59PM
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated PhD candidate with
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling