16 phd-position-for-research-in-computer-vision Postdoctoral positions at The University of Arizona
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, interest in the position, and future career goals (1 page) and describe research you would propose to do based on your research interests and the McNew Lab research program (1 page). Notice of Availability
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or electrophysiology, and proficiency in MATLAB/Python/R are desirable but not required. The position is part of a well-funded research program and will provide the opportunity to produce high-impact publications and
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Campus Address Tucson, AZ USA Position Highlights The Polarization Laboratory at the University of Arizona is seeking a highly motivated and qualified Postdoctoral Research Associate I/II/III/IV/V
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environmental exposure or cancer drug. We are currently seeking a candidate to lead a new research program on how tyrosine kinase inhibitors (TKIs) induce cardiotoxicity. Experience working in cardiovascular
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toxicity associated with environmental exposure or cancer drug. We are currently seeking a candidate to lead a new research program on how tyrosine kinase inhibitors (TKIs) induce cardiotoxicity. Experience
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Campus Address Tucson, AZ USA Position Highlights The department of Electrical and Computer Engineering (ECE) at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research
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searching for a Postdoctoral Research Associate to work in the Communication Participation and Adaptive Listening Support (P.A.L.S.) Lab of Dr. Meghan Darling-White. The position will support Dr. Darling
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. The fellowship will provide training opportunities. This position is eligible for visa sponsorship. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and
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Address 1656 E Mabel St, Tucson, AZ 85724 USA Position Highlights The Department of Immunobiology is seeking highly motivated applicants for a Postdoctoral Research Associate I position to be co-mentored by
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expertise in molecular and cellular biology to advance our research initiatives and enhance computational methodologies. Ideal candidates should have a PhD in Biology, Neuroscience, Computational Biology