13 3-phd-positions-in-computer-science-artificial-intelligence PhD positions at University of Pittsburgh
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to expand its scope and depth via the recruitment of junior faculty members. We seek candidates for appointment stream positions at the Research Assistant Professor level. We have a highly collaborative and
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Clinical Cardiovascular Psychophysiology Research Assistant Psychology - Pennsylvania-Pittsburgh - (25003691) This position is funded by a grant (R01HL169990-01) through the National Heart, Lung
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to expand its scope and depth via the recruitment of junior faculty members. We seek candidates for appointment stream positions at the Research Assistant Professor level. We have a highly collaborative and
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applications from individuals with a PhD or equivalent in Engineering or Physics or a closely related discipline for a position at a rank of research assistant professor. Applicants should have experience with
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, accuracy in work, ability to multitask and set priorities, strong written and oral communication skills, excellent analytic skills, and strong interpersonal skill are required. The incumbent is expected
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Research Assistant Professor - WESTPA Software Chemistry - Pennsylvania-Pittsburgh - (25003272) We are pleased to announce an opening for one Research Assistant Professor in the Chong group with
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. QUALIFICATIONS: 1. PhD, MD/PhD, or MD degree. Training in medicine and organ-based immunobiology, digital imaging, image analysis, spatial genomics, and proteomics is an attractive attribute for the position
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-Cas9 genome editing, transgenesis, and chromatin analysis, with a focus on understanding and manipulating cellular processes at a molecular level PhD in Molecular Biology required Please apply through
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movement data Minimum experience: 5+ years of research within an Ophthalmology laboratory PhD in Visual Science or a similar field n/a The University of Pittsburgh is committed to championing all aspects
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to combat these disorders. The incumbent will utilize cell and molecular biology techniques alongside electrophysiology, metabolomics, proteomics, and RNA-seq to investigate how de novo mutations in PACS1