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with measurement, analysis, and interpretation of neurocognitive and brain imaging data. Experience with signal processing, wearable devices, and cognitive neuroscience is strongly preferred
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University of California, San Francisco | San Francisco, California | United States | about 4 hours ago
MAGNETIC RESONANCE IMAGING Full Time 85998BR Job Summary The Department of Radiology is a 24-hour, seven day a week operation providing imaging services for adult and pediatric inpatients and
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About Us The London Institute for Healthcare Engineering (LIHE) is part of the School of Biomedical Engineering & Imaging Sciences in the Faculty of Life Sciences & Medicine at King’s College London
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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Aug-25 Location: St. Louis, Missouri Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff
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serves as the central hub to advance and coordinate cross-disciplinary studies in immuno-oncology across St. Jude basic and clinical Departments, Cores, and Centers. The successful candidate is expected
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research findings and assists in the reporting of the results. Processing and visualizing fMRI data. Conducts ultrasound-based therapies and imaging. Conscientious discharge of research responsibilities
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Work duties and responsibilities We are looking for two project assistants who will primarily focus on processing and analyzing large sets of medical brain imaging data. We have amassed large quantities
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not required): Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high
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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in