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imaging pipelines, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists
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, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
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: PhD in biology, physiology, biomedical engineering, or a related field. Demonstrated skill in handling mouse and rat pups, small animal procedures, and in vivo imaging. Familiarity with cardiac
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: Ph.D. in Electrical Engineering, Applied Mathematics, Biomedical Engineering, Mechanical Engineering or related fields. Preferred Experience: Experience in MRI and post-imaging processing Preferred Field
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cell biology. Additional preferred qualifications include: experience in mouse models of disease, flow cytometry, single-cell RNA sequencing analysis, and image processing and analysis. Qualified
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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external) https://profiles.stanford.edu/leandra-barnes (link is external) https://med.stanford.edu/dermatology.html (link is external) How to Submit Application Materials: To begin the application process
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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issues. Position Description The position will support the operation and continued development of a center for high throughput x-ray crystallographic fragment screening (XCFS). The successful candidate
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete