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are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from routine bone-density
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17 Sep 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Accounting Research Field Economics Researcher Profile First Stage Researcher (R1) Positions PhD
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activities, such as assisting in courses of our computing science programmes. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD
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PhD candidate will have: A strong background in computer science, artificial intelligence, machine learning, or a closely related field. A solid understanding of machine learning concepts, particularly
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PhD at the InnoRenew CoE, Andrej Marušič Institute. The successful candidate will be actively involved in research activities, particularly those related to the development and scientific use of the HB
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
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• PhD degree in Science or Engineering • Education or a track record in applied mathematics, with a strong interest in physical sciences • A solid foundation in thermodynamics & statistical
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Sep 2026 - 00:00 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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and distrust in traditional knowledge providers such as academia and media? Then apply for this PhD project! Join us! We are looking for two ambitious PhD Researchers for the four-year project “Agents