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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
Apply now to Postdoctoral Scholar in Imaging Science/Cystic Fibrosis/Rhinology Job #JPF10530 Surgery-Head & Neck / David Geffen School Of Medicin / UCLA Position overview Position title: Postdoctoral
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: 6380175 University of California Irvine Postdoctoral in Biomedical Imaging (Imaging Instrumentation) - 2025-2026 Position overview Salary range: A reasonable estimate for this position is $66,737-$80,034
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with skills in computation and image processing is highly desired. Excellent communication skills and an ability to work across platforms in a collaborative style are desired. St. Jude is an Equal
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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-quality papers in top journals and conferences. The appointees will be required to: (a) develop novel AI and XR algorithms/software for medical image analysis and computer-assisted surgery tasks; (b
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well as experimental and computational approaches. The ideal candidate will have a strong interest in gene regulatory mechanisms, with a track record of creative research in molecular biology, cell biology, genomics
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during pathological conditions. 2. Neonatal seizures and epilepsy 3. GABAA receptor physiology. We approach these research areas with electrophysiological and imaging. The Postdoctoral researcher will be
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, computer science, biomedical engineering, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging
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Ultrasound (UDUS) Research Group and the Michigan Institute for Imaging Technology and Translation (MIITT) at the University of Michigan. Our team is positioned at the interface of ultrasound (US) and magnetic
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A postdoctoral research associate position is available for a technically strong researcher to join the Oxford Machine Learning in NeuroImaging (OMNI) lab at Oxford’s Department of Computer Science