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Field
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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
genetic data Multimodal machine learning for biological discovery Translational genomics and risk modeling The fellow will work in an environment that emphasizes methodological innovation, statistical rigor
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UiO/Anders Lien 13th October 2026 Languages English English English Postdoctoral Research Fellow position in remote sensing and modeling of the cryosphere Apply for this job See advertisement About
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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Computational Postdoctoral Fellow to join the Quantitative Modeling Group led byHéctor García Martín
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transition to Net Zero. You will be responsible for developing novel numerical methods to model continuum problems in a two-liquid/granular medium and for interpreting the results physically. These models will
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Strong background in control, robotics and machine learning, and experience in areas like model predictive control, adaptive control, reinforcement learning, robot perception or manipulation. Programming
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using established rodent models. The role will involve designing and conducting sophisticated in vivo experiments, with a particular emphasis on wireless EEG/EMG telemetry recordings, behavioural
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staff recruited to the project and establish effective working relationships with the Chief Investigators, Joint Coordination Committee and other project members and work with the AI Modeller and ensure
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quantitative research and modelling towards achieving the aims of the Theme working with the relevant regional and national stakeholders. Applicants will have substantial experience of conducting quantitative
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mechanics, molecular modelling, and/or quantum thermodynamics would also be beneficial. Evidence of quality publications in reputable refereed journals and experience presenting at conferences. Evidence of