10 postdoctoral-image-processing-in-computer-science Postdoctoral positions at Stanford University
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Postdoctoral position in Computational Immunology We are looking for two motivated postdoctoral researchers to work on human macrophage biology in the Department of Pathology at Stanford. Successful candidates
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microscopy, and image analysis is strongly preferred. Experience with molecular biology and biochemistry techniques such as DNA/RNA extraction, PCR, cloning, protein extraction, and Western blot. ● Experience
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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, or MATLAB) are required. Knowledge in one or more of the following areas is desirable: biomedical imaging, biomedical optics, computer vision, bioinformatics, single-cell profiling technologies, spatial omics
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Posted on Wed, 02/12/2025 - 13:20 Important Info Faculty Sponsor (Last, First Name): Han, Summer Stanford Departments and Centers: Med: Biomedical Informatics Research (BMIR) Epidemiology and
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in quantitative imaging techniques and proficiency in computational analysis of imaging data and image processing algorithms. Familiarity with proteomics or spatial biology methodologies is a plus but
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productivity, and the ability to work both independently and collaboratively in a multidisciplinary environment (involving clinicians, computer scientists, and statisticians). A strong background in
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imaging and surgery. The postdoctoral scholar will be co-mentored by Professor Joseph Liao in the Department of Urology and Professor Lei Xing in the Department of Radiation Oncology. Creative, highly
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for a postdoctoral fellow position in cancer epidemiology to join Dr. Summer Han’s research group in the Stanford Center for Biomedical Informatics Research at Stanford University. This position
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on the biology of breast cancer, with a special emphasis on radiobiology and the new paradigm of FLASH radiotherapy. This position offers an exciting opportunity to contribute to cutting-edge research aimed