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Research Assistant Professor Civil & Environmental Engineering - Pennsylvania-Pittsburgh - (26001343) Responsibilities include writing proposals and conducting both experimental and computational
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students; and 54 MS students) degrees. The McGowan Institute for Regenerative Medicine (https://mirm-pitt.net/ ), Computational and Systems Biology (https://www.csb.pitt.edu/ ), the Vascular Medicine
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, the candidate will engage with U.S. ATLAS program office and management team to insure the continuation of the University of Pittsburgh's participation in software development and support on behalf of the ATLAS
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Medicine (https://mirm-pitt.net/ ), Computational and Systems Biology (https://www.csb.pitt.edu/ ), the Vascular Medicine Institute (https://vmi.pitt.edu/ ), the Brain Institute (https://www.lrdc.pitt.edu
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Faculty.Professor.Research Assistant - Full-Time Med-Cell Biology - Pennsylvania-Pittsburgh - (26001065) The Department of Cell Biology at the University of Pittsburgh School of Medicine seeks
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Part-Time Research Assistant Professor - Faculty Position Nurs-Health & Community Systems - Pennsylvania-Pittsburgh - (26001057) The University of Pittsburgh School of Nursing is seeking qualified applicants for part-time, non-tenure stream research faculty in the Department of Health and...
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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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of Medicine seeks a Research Assistant Professor faculty with interest and experience in epithelial transport physiology and molecular biology. This is an opportunity to work with a group of faculty passionate
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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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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