227 postdoctoral-image-processing-in-computer-science Postdoctoral positions in United States
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found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity/Affirmative Action Employer Brookhaven Science Associates is an equal opportunity
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techniques) • Perform and modify documented protocols and assays • Maintain laboratory records and compile data on experiments and assays • Interpret and report on experimental results • Perform statistical
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for highly motivated postdoctoral researchers to conduct advanced electron microscopy studies on quantum materials for neuromorphic computing. The primary objective of this research is to explore quantum
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Title of the Position: Postdoctoral Research Associate Department and School: Yale Clinical Neurosciences Imaging Center, Department of Neurology, School of Medicine Anticipated Appointment Dates:7
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Posting Information Posting Details Department Computer Science - 318400 Posting Open Date 11/20/2024 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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Job Description The Opportunity The laboratories of Profs. Raghavan, Engblom and Ricklick at the Department of Aerospace Engineering, Embry-Riddle Aeronautical University, Daytona welcomes
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productivity, and the ability to work both independently and collaboratively in a multidisciplinary environment (involving clinicians, computer scientists, and statisticians). A strong background in
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and