377 evolution "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Pittsburgh
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to support large-scale studies Lead or assist with project coordination, data analysis, manuscript preparation, and grant development Engage in mentoring and training activities Qualifications Ph.D. in
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Advocacy • Child Development • Hospitalists • Emergency Medicine • Endocrinology • Gastroenterology • General Academic Pediatrics • Hematology/Oncology • Infectious Diseases • Newborn Medicine • Neurology
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; the successful candidate will be hired at the rank of Teaching Assistant Professor, Teaching Associate Professor, or Teaching Professor. For information on these ranks, see (https://www.as.pitt.edu/faculty
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within SCI and across other departments within Pitt, and initiatives like the $11.6M Western Pennsylvania Quantum Information Core (https://www.pitt.edu/pittwire/features-articles/pitt-investment-pa
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, fostering excellence in teaching, research, service, and community engagement. The successful candidate will promote an inclusive and collaborative culture, guide faculty and staff development, manage
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, including syllabi development, class instruction, and grading of examinations. o Supervision of internships and independent study projects. o Student advisement, maintaining reasonable and scheduled
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examinations from our core academic hospital and our cancer center, as well as interpret or consult on difficult neuroradiology cases throughout the UPMC health system. Mentorship and career development
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development, promotion, and tenure. Applicants for Associate Professor, non-tenure, tenure-stream, and tenured, should have five or more years of experience in related scientific research; have independent
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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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out independent as well as collaborative research in the area of Ultra-High Field Magnetic Resonance Imaging (MRI). The position involves the development of 7 Tesla MRI methods and applications