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experiments using mPCSK9-induced atherosclerosis mouse models to evaluate lesion outcomes following genetic or pharmacological inhibition of TERT and KLF4. Based on the resulting data, they will analyze and
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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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of particle detectors. The candidate is expected to engage in planning for deployment of these tools in view of software releases, Monte Carlo campaigns, and data taking runs of the detector. Additionally
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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
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-time faculty member in the Health and Community Systems Department in the School of Nursing, who will be supporting data collection and analysis for a grant examining veterans' mental health. Maintenance