238 postdoctoral-image-processing-in-computer-science Postdoctoral positions in United-States
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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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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing
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researchers and personnel. Successful applicants will be involved in the operation of the world’s most sensitive interferometers, and/or the R&D program for future detector improvements. Examples include
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biology, genetics, physiology or biomedicine and have a strong track record of, and potential for, success. The applicant should have a keen research interest in cell signaling, calcium dynamics
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, research, and public service. Job Description Purpose: The Department of Electrical and Computer Engineering and AggieFab Nanofabrication Facility at Texas A&M University seeks a Postdoctoral Researcher to
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Engineering Department: Knight Campus Rank: Postdoctoral Scholar Annual Basis: 12 Month Review of Applications Begins Applications will be reviewed as needs arise. Special Instructions to Applicants Along with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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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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computed tomography (XCT) imaging of a variety of specimen types including irradiated fuel samples, analyzing the generated 3D XCT datasets to identify and quantify features of interest, and interacting with
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computational data analysis. With guidance and support from the supervisor, the postdoctoral associate is expected to lead a project within their scientific discipline and collaborate with other researchers