21 postdoctoral-image-processing-in-computer-science-"EPIC" research jobs at University of Pittsburgh
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well as collaborative research in the field of medical imaging. Specific research foci include the development of ultrahigh field MRI methods in terms of both acquisition parameters and processing, including software
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, and social sciences, *publish high-impact research and contribute to national and international discourse, *mentor graduate students, postdoctoral fellows, and junior faculty, *participate in
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smooth operation. Qualifications: · Extensive postdoctoral experience in relevant fields. · Strong training and expertise in viral oncogenesis, drug delivery, and nanomaterials. · Proven
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(engineering.pitt.edu/bioengineering) invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, biomedical engineering, or closely related disciplines for a non-tenure stream
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the faculty member's progression toward establishing an independent research program. Required Educational Background: Applicant must have a Ph.D. in a field of engineering in a field relevant to the aneurysm
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collegial Department (29 faculty) that nucleates a larger interactive community (nearly 100 faculty). We support an exceptional Graduate Training Program, host two training grants, a robust weekly seminar
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influence brain and heart health. Responsibilities will involve recruiting participants, screening participants for eligibility, scheduling participants, collecting physiological and brain imaging data (MRI
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and engineering, chemistry, electrical engineering, or a closely related field. Postdoctoral experience in chemical optical fiber sensing technologies. Required Skillset: For the research component of
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. 2. Work Experience of at least 5 years conducting independent experiments related to organ-based tissue biology, digital imaging, and image and mRNA expression analysis and interpretation, writing
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looking for a Research Assistant Professor to work with Dr. Sindhi. Qualifications: PhD degree in Computational Biology/Bioinformatics Demonstrated excellence in research and academic achievements