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Harvard T.H. Chan School of Public Health - Haber Lab | Boston, Massachusetts | United States | 5 days ago
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
expression (Terlecki-Zaniewicz et al., Nat Struct Mol Biol 2021 , Troester et al, Nat Commun 2025 , Kirkiz et al, Cell Rep 2025 ).We also investigate how RNA- and translation-associated processes regulate
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research projects, in particular those involving small angle neutron and x-ray scattering (SANS/SAXS) Participation in experiments at large facilities (e.g. MAX IV, ESS, ISIS etc.) Processing and
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aiming to investigate parent infant interaction with a focus on music and speech at the University of Washington Seattle Campus. This job focuses on analyzing a large longitudinal dataset (video-audio
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motivated and skilled postdoctoral researcher to lead projects related to PhacoTrainer—computer vision models for cataract surgical video recognition. Project themes will include validating PhacoTrainer
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision
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iFIND, an interactive AI-assisted video editing platform that uses transcript-based models to help instructional coaches identify salient classroom moments and generate targeted feedback for educators