228 postdoctoral-image-processing-in-computer-science Postdoctoral research jobs in United States
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that are leading the way in emerging technologies through programs such as computer engineering, information technology, and ocean engineering. We’re developing the next generation of business leaders, while also
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. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Must be highly motivated, self-driven, creative, and
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, obtained within the last two years. In-depth knowledge in retinal vascular biology, mouse genetics, Ca 2+ signaling in endothelial cells, imaging and image quantifications, and endothelial cell based in
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molecular biology and cell biology assays, immunochemistry, and cell culture Preferred Qualifications: Rodent handling experience Experience in flow cytometry and high-resolution imaging Experience in omics
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source for EIC and the design of the ePIC Barrel Imaging Calorimeter. Argonne National Laboratory, situated near Chicago, is a prominent multidisciplinary science and engineering research center. We are
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that can process and learn from multiple data streams in real-time is key to unlocking the full potential of such instruments. The postdoctoral appointee will be responsible for developing such methods
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written communication skills; and ability to understand and communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge of database and
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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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the Laboratory's collective success. Chemical and Biological Sciences Division at the Ames National Laboratory, is searching for a qualified Postdoctoral Research Associate. Ames Laboratory is the home of
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candidate must hold a doctoral degree in biology or biomedical sciences. A combination of skills in cell culture, animal disease models, imaging, western blot, immunoprecipitation, ELISA, DNA/RNA preparation