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models to enable improved diagnosis, prognostication, and prediction of treatment response for bladder cancer, specifically related to endoscopic imaging and surgery. The postdoctoral scholar will be co
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techniques a plus. Computer experience with spreadsheet and word processing applications. Experience or willingness to learn quantitative imaging analysis of brain tissue imaging. EDUCATION & EXPERIENCE
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, immunostaining, multiplexed protein assays, light and confocal microscopy. Computational experience with R and bash processing. Computer experience with spreadsheet and word processing applications. Experience
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are linked to the California Cancer Registry, as part of the national SEER registries. The postdoc fellow will work closely with statisticians, computer scientists, oncologists, and epidemiologists in the lab
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diseases, leveraging cutting-edge techniques in ultrasound, CT and X-ray image analysis. Responsibilities include: Develop and implement computer vision algorithms for the analysis of medical images in
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Qualifications: Ph.D. in Rock Physics/Rock mechanics, Energy geoscience and engineering, Civil Engineering, or related fields with expertise in geotechnical/geomechanics testing, micro- and nano-scale imaging
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for healthcare, with an opportunity to work with free text, image, and molecular data. Topics such as AI transparency and fairness are a cornerstone of the lab. Postdocs will have the opportunity to collaborate
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models of T cell therapy, single cell computational approaches, and advanced microscopy / image analysis to achieve both basic and translational goals. Further details of the proposal will be provided