241 postdoctoral-image-processing-in-computer-science Postdoctoral positions in United-States
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postdoctoral researchers with experience in cellular electrophysiology to join the laboratory of Dr. Robert Renden, in the Department of Physiology and Cell Biology. Positions is immediately available, and will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days 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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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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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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, 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
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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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Anticipated Appointment Dates: 3/1/2025 Email/Website: Wendy.agudo@yale.edu (Program Manager) https://medicine.yale.edu/psychiatry/research/programs/center-science-cannabis-cannabinoids/ Introduction of School
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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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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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program features high-resolution data acquisition and analysis techniques modeled on the Human Connectome Project (HCP) and is committed to the highest standards for magnetic resonance imaging and