116 post-doc-image-engineering-computer-vision Postdoctoral positions at University of Washington
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any previous postdoctoral experience. At the time of their appointment, candidates must have a Ph.D. in an applicable field such as geophysics, oceanography, computer science or engineering. The
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of scientific studies. Applicants with a strong background in computational biology are encouraged to apply. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis
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Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome Sequencing
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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with a group of highly motivated scientists to employ interdisciplinary approaches such as retinal cell biology, functional genomics, imaging, and biochemistry. The Chen Lab has a well-recognized
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industrial engineering, systems engineering, computer science, electrical engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big
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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
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, and community outreach. The postdoc will join a cohort of graduate students and postdocs across Earth Science, Environmental Engineering, Data Science and Statistics, Microbiology, and Anthropology
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Aug-25 Location: Seattle, Washington Type: Full Time Categories: Academic/Faculty Internal Number: 142057 Position
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education and informatics across the breadth of health sciences and health care. Faculty interests and activities include: physician performance assessment, evidence based medicine, physician/patient