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Research Assistant Professor (Appointment Stream) Bioengineering - Pennsylvania-Pittsburgh - (26001293) The Department of Bioengineering at the University of Pittsburgh Swanson School of Engineering
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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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submitted to Interfolio: https://apply.interfolio.com/183006 . For further information or guidance on how to apply, please email Dr. Niki Labbe at nlabbe@utk.edu. Required Application Materials: a cover
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Mechanical Engineering or Materials Science and Engineering (required for Ph.D. applicants) Experience with additive manufacturing, materials characterization, and/or physics-informed machine learning
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Description Job Summary: The Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental
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ample opportunities for direct validation in biologically relevant settings. This interdisciplinary atmosphere has been a main catalyst for many past successes: https://europepmc.org/article/MED/35021063
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General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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, land use ethics, adaptive use studio, building documentation, and analysis, cultural resource management/public policies in preservation, preservation technology, and American architectural history
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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
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
expose the successful candidate to cutting-edge genome editor engineering approaches and the delivery of these reagents in vivo via AAV or lipid nanoparticles. The successful candidate will also learn