Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Physiology, Biology, or Public Health Pursuing further graduate degree such as Master or PhD FLSA Non-Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 20 Job FTE 0.5 Work Calendar Fiscal
-
Coordinator, Continuing Medical Education (College of Medicine-Phoenix) Posting Number req23570 Department COM Phx Campus Administration Department Website Link https://phoenixmed.arizona.edu/cts/phd Location
-
. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
-
College of Medicine-Phoenix Location Greater Phoenix Area Address Phoenix, AZ USA Position Highlights The laboratory of James Bibb, PhD at the University of Arizona College of Medicine-Phoenix is seeking a
-
, and a highly competitive PhD program. The faculty also teach several required and elective courses in the Eller MBA program (full-time MBA, evening MBA, online MBA, and executive MBA). We invite all
-
architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level PC1 Job Family Researchers & Scientists Job Function
-
. Knowledge of and experience with community relationship-building. Knowledge of and experience with helping organize and promote interdisciplinary and applied and public-facing projects and program. Experience
-
is available in the laboratory of Dr. Terry O Matsunaga, Pharm.D, PhD in the Department of Neurosurgery and Biomedical Engineering at the University of Arizona (Tucson, AZ). The successful candidate
-
. Knowledge of mineral resources geology. Minimum Qualifications PhD degree in Geology or related field AND a minimum of eight (8) years of relevant work experience is required. Must have a valid driver's
-
Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience, or related field. Demonstrated experience in analyzing real-world medical data and applying machine learning