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, funded by the Simons Foundation grant titled ‘Simons Collaboration on Probabilistic Paths to Quantum Field Theory’. They will be expected to conduct research which falls within the remit of this large
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). The institute also maintains locations in Dedelow and Paulinenaue. The position will be based in the Research Platform “Data Analysis and Simulation“ within the Working Group “Ecosystem Modelling“ under
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that contribute to new breeding tools and accelerates discovery. The position will offer opportunities to explore several approaches to solve the optimisation strategies including simulation-based, big data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 minutes ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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Address 1501 N. Campbell Ave., Tucson, AZ 85724 USA Position Highlights The Biomedical Imaging Innovation/Clinical Translation – Next-gen CT (BIG-CT) research laboratory in the Department of Radiology and
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Are you excited about big science, do you have an engineering mindset, and want to contribute to the development of a new gravitational wave detector? We currently have a postdoctoral researcher
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that automatically choose and adapt encodings, and integrating these capabilities into a user-friendly framework that empowers mathematicians to pose, explore, and resolve large combinatorial problems with SAT
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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward