60 computer-science-image-processing-"Multiple" Postdoctoral positions in United States
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normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology, computer science, biomedical engineering
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: Minimum education: PhD in a relevant scientific field (e.g., computer science, image processing, or computational neuroscience). Minimum experience: 0 years Preferred Qualifications: Preferred education
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– Requisition #:37112 Job Summary: We are searching for a qualified post-doctoral fellow to join our growing laboratory. Our work focuses on stem cells and reproductive biology, particularly of the placenta
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retinal tissue dissection, immunohistochemical and molecular assays, confocal imaging, and basic analysis of imaging data. The candidate will help with tissue processing and data collection across multiple
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expertise in respiratory physiology and pertinent cellular and/or molecular mechanisms. Technical expertise in computer programming languages including R, Phython, and LabView are welcomed. Demonstrated
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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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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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anatomical and functional investigation of the cerebrovasculature is highly desirable. However, candidates with other experimental and/or data skills are welcome to apply. Experience in computer programming
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
the Joint Department of Biomedical Engineering Department, based at UNC Chapel Hill. This research position will lead research in advanced ultrasound imaging technologies. Potential projects include super