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Faculty.Professor.Research Assistant - Full-Time Med-Medicine - Pennsylvania-Pittsburgh - (26000991) The University of Pittsburgh, Department of Medicine, Division of Endocrinology and Metabolism is seeking a Research Assistant Professor in the appointment stream to manage clinical research...
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. Effort Allocation: 90% Research; 10% Administration Minimum Qualifications - PhD in Biological Sciences with a foundation in the principles and techniques of biochemistry and biological sciences, alongside
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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 an appointment stream
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(https://engineering.pitt.edu/bioengineering ) invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, electrical engineering, or a closely related discipline
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Faculty Professor Research Assistant - Full-Time Med-Medicine - Pennsylvania-Pittsburgh - (25006432) The Department of Medicine- The Division of Malignant Hematology/Medical Oncology
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. Successful applicants will be encouraged to obtain extramural funding, establish a competitive research program, and participate in graduate and medical education. The University of Pittsburgh has a long
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Functions • Conducts research assessments/procedures, including obtain vital signs and brief medical histories, process specimens using centrifuge, perform phlebotomy, prepare samples for shipment, and assist
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related to mental health, cardiovascular health, brain health, or reproductive health. This in-person position is ideal for researchers who are passionate about collaborative science and eager to contribute
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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
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successful candidate should have the following qualifications: - Ph.D. in Biomedical Engineering, Medical Physics or a related field - Experience working with fetal, placental, and brain quantitative MRI data