Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
institutions. Contribute to the teaching and service missions of the college. Engage in external academic and professional activities. Minimum Qualifications Have an MD, PhD or MD/PhD degree or the equivalent
-
. For physician/scientist: Oversee pediatric inpatients and outpatients in field of specialty. Contribute to teaching medical students and residents. Minimum Qualifications PhD, MD, DO, MD/PhD, DO/PhD degree
-
Sign In Create Profile Assistant Professor of Practice - PhD Career Counselor Tucson, AZ, United States | req19590 Apply Now Share Save Job Back to Search Assistant Professor of Practice - PhD
-
the Division of Cardiothoracic Surgery. This position is open for a person with a doctoral degree (PhD or MD) and who has prior experience and publications. In addition to their own project/experimental
-
. Responsible for oversight of the MD/PhD students. Provide mentorship for all MD/PhD students. Develop and participate in MD/PhD Program meetings, as needed. Publicize and promote the program by participating in
-
– Tucson delivers cutting-edge programs in medical education, highly innovative and collaborative research opportunities, as well as advanced patient care in an environment where inclusive excellence creates
-
, Spanish for the professions, and general education courses. Instructors are required to teach face-to-face and if needed online courses. These positions may extend from part time (.50 FTE) to full time
-
strategic leadership and direction for all planning, policy, operations, and oversight of the administration, clinical outreach expansion, educational, translational research, and quality assurance aspects
-
Number req19669 Department School of Information Department Website Link Location Main Campus Address Tucson, AZ USA Position Highlights The Lecturer will provide instruction for the School of Information
-
production; to further develop and calibrate algorithms for tagging boosted Higgs boson decays; to explore novel applications of machine learning to particle physics data analysis and detector hardware; and to