14 computational-linguistics Postdoctoral research jobs at University of Nebraska Medical Center
Sort by
Refine Your Search
-
Associate to join our lymphoma research program. The successful candidate will work at the interface of cancer biology, functional genomics, and translational research, with a focus on understanding the
-
economic engine for the state of Nebraska. Led by Chancellor Jeffrey P. Gold, M.D., UNMC has six colleges, two institutes and a graduate studies program, serving nearly 4,000 students in more than two dozen
-
/2025 Position Qualification Position Summary The Department of Environmental, Agricultural and Occupational Health (EAOH) and the Water, Climate and Health (WCH) Program in the College of Public Health
-
of diversity, and is a major economic engine for the state of Nebraska. Led by Chancellor Jeffrey P. Gold, M.D., UNMC has six colleges, two institutes and a graduate studies program, serving nearly 4,000
-
a major economic engine for the state of Nebraska. Led by Chancellor Jeffrey P. Gold, M.D., UNMC has six colleges, two institutes and a graduate studies program, serving nearly 4,000 students in
-
for the state of Nebraska. Led by Chancellor Jeffrey P. Gold, M.D., UNMC has six colleges, two institutes and a graduate studies program, serving nearly 4,000 students in more than two dozen programs
-
adenocarcinoma (PDA) pathogenesis. The murine models of distinct genetic subtypes of pancreas cancer that we have developed form the basis of our integrated, systematic, and multidisciplinary research program. Our
-
institutes and a graduate studies program, serving nearly 4,000 students in more than two dozen programs. Our physician assistant program was recently ranked ninth in the nation by U.S. News & World Report
-
encouraged. The candidate should also be familiar with basic data analyses and reporting and should be able to assist Principal Investigator (PI) with other aspects of the research program. Required
-
fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing