101 post-doc-image-engineering-computer-vision Postdoctoral research jobs at University of Washington in United-States
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Aug-25 Location: Seattle, Wa Categories: Academic/Faculty Internal Number: 143318 The Applied Physics Laboratory
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on sustainable waste treatments and bio-productions. Key responsibilities include conducting fermentation, bioreactor operations, and cell growth analysis using imaging, OD analysis, and HPLC metabolite
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Aug-25 Location: Seattle, WA Categories: Academic/Faculty Internal Number: 172000 The University of Washington
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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Aug-25 Location: Tacoma, WA Categories: Academic/Faculty Internal Number: 137947 The School of Engineering and
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Aug-25 Location: Seattle, WA Categories: Academic/Faculty Internal Number: 138252 The University of Washington (UW
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-of-use water filter during use. Methods are expected to use LC-MS/MS and GC-MS workflow. These methods would be applied for laboratory testing and in a pilot testing program. Job Description Primary Duties
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Position Summary Postdoctoral Research position open in the O’Brien Lab (Department of Biomedical Engineering, Danforth and Medical Campus). Dr. Christine O’Brien invites applicants to join her
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biology, other engineering, or a related field. Course work in biology/physiology, biomaterials. Experience with soft gel synthesis (collagen, polyacrylamide), cell culture, microscopy and image analysis
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for radiopharmaceutical and particle therapy research with GMP-grade therapeutic product development facilities. Extensive shared resources for genomics, proteomics, metabolomics, imaging, and computational biology. A rich