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PhD Research Fellow in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (DC7) (ENDOTRAIN) PhD position at Adhera Health SL (Spain) and the University of Bergen
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. A 3.5-year PhD studentship in advanced NMR and data analysis is available in the University
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PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9) at the University of Ulm, Germany (ENDOTRAIN) PhD-position at the University of Ulm, Germany (ENDOTRAIN) (DC9
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accurate laboratory documentation of experiments, including raw experimental data and laboratory notebooks. Monitor progress of research projects and coordinate with Principal Investigator and Program team
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past, present and future events to constrain extreme value distributions spanning hundreds to thousands of years. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys
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15th February 2026 Languages English English English PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9) at the University of Ulm, Germany (ENDOTRAIN) PhD-position
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demonstration of impactful research in the advertised topics. Additional Information: The initial salary is competitive, based on qualifications and experience, and comes with excellent fringe benefits. Hiring
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topics. Additional Information: The initial salary is competitive, based on qualifications and experience, and comes with excellent fringe benefits. Hiring decisions are based on budget approval. In
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap