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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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protein detection and imaging techniques. The post holder could be a postdoctoral scientist with a background in cell biology and molecular biology. Ideally with proven work experience at senior level in
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Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and
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spiral imaging, and new approaches for processing and multivariate statistical analysis of brain imaging. RADIOLOGY AND BIOMEDICAL IMAGING The Department of Radiology and Biomedical Imaging is one
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processes venipuncture samples by accepted methods for use in laboratory analysis and testing as directed. Maintains patient records and medical notes related to imaging and laboratory procedures
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28 Feb 2026 Job Information Organisation/Company Université de Montpellier Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
candidate will be expected to publish in peer-reviewed journals and contribute to the broader NASA Earth Science community's preparation for the next generation of orbital imaging spectrometers. Point
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines