224 postdoctoral-image-processing-in-computer-science Postdoctoral positions in United States
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POSTDOCTORAL SCHOLAR Requisition # 4466 Position Basics Advertising Ends on:Tuesday, August 18th, 2026 Advertising Started on:Monday, August 18th, 2025 College:Carver College of Medicine
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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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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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job An NIH-funded postdoctoral position is available for a two-year program in the laboratory of Brendan Dougherty within
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) Program (https://healthinformatics.umn.edu/natural-language-processing) at the Institute for Health informatics is a team of investigators, postdoctoral researchers, programmers, and students who work
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acquisition on fresh and fixed samples. Work closely with pathologists, surgeons, and computational scientists to validate imaging technologies for diagnostic and research use. Analyze imaging data and
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-throughput workflows for data acquisition and analysis Contribute to on-the-fly data processing and integration with computational tools Collaborate with multidisciplinary teams in nanofabrication
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cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis, and biophysical modeling. • Experiment