Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
expertise in head and neck, skin, and thoracic cancers to join its faculty. The ideal candidate will have an interest in developing a robust independent research program focused on translational science
-
of Natural Resources (RCNR) and the College of Computing, Data Science, and Society (CDSS), with the financial support of Eric and Wendy Schmidt. The Center combines the power of computing and environmental
-
grow a research program in clinical or implementation science related to the clinical activities described above. The Department was number 1# in NIH funding in 2024 and has resources to support a
-
fellowship training program. This position may have clinical responsibilities at both the San Francisco and Oakland campuses and would actively contribute to the Department's mission of excellence in research
-
with experience. Selected candidates will join a major academic medical center and established training program. This position may have clinical responsibilities at both the San Francisco and Oakland
-
office with access to the internet and have the ability to problem-solve a variety of issues (including both technology and procedural) independently. Candidates must have a personal computer with up
-
of issues (including both technology and procedural) independently. Candidates must have a personal computer with up-to-date security and internet browsers. Successful candidates must demonstrate a
-
remain on faculty as career hospitalists, with the option to expand their practice to the general medicine services at their discretion. Job details: Cardiac Hospitalist The Cardiac Hospitalist program is
-
, projects, and advising tools to meet programmatic objectives. Establish program goals, determine priorities, and set deadlines. Create written procedural guidelines for internal staff and key administrative
-
methods that employ high-throughput sequencing and downstream computational analysis. An additional major duty will be to construct strains and analyze engineered strains of C. neoformans using CRIPSR/Cas9