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of thousands of individuals, large-scale single-cell data from primary human tissues, spatial transcriptomic data, and experimental genomic screens. The postholder will join a multidisciplinary team based in
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multiple imaging modalities—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old
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information about the role, please click 'Apply' above. Applicants must have a PhD. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD
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contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and
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language processing, historical linguistics, and computational humanities. The postholder will lead the computational stream of the project, which involves building a large corpus of Latin texts (data collection and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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11 Dec 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Physics » Quantum mechanics Physics » Statistical physics Researcher Profile Recognised Researcher (R2
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and data-driven methodologies (Max Rakitin and Seher Karakuzu), and RIXS theory (Steve Johnston and Seher Karakuzu). Position Description The successful candidate will join a large multi-institutional
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expertise in Neuropixels or other large-scale in vivo electrophysiology techniques. An expert neural data analyst may be considered even with minimal animal experience. Required Application Materials: Cover
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new technologies related mainly to the Internet of Things, the use of large amounts of data, and the autonomy of systems due to the development of AI. The effect can be beneficial, for example by