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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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blockade (Phillips, Matusiak, et al, Nature Communications, 2021). We do research at the forefront of spatial biology and offer training in immunology, human histology, statistics, computer vision, grant
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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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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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, 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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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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, computer scientists, and statisticians, are strongly encouraged to apply. Previous experience working with optical imaging and computer vision is a strong plus. The successful candidate will be jointly based
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Posted on Tue, 03/26/2024 - 18:05 Important Info Faculty Sponsor (Last, First Name): Han, Summer Stanford Departments and Centers: Med: Biomedical Informatics Research (BMIR) Epidemiology and
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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