761 machine-learning uni jobs at University of California, San Diego in United States
Sort by
Refine Your Search
-
Listed
-
Field
-
, faculty and administrators Demonstrated experience with python and machine learning libraries and familiarity with AWS Employment is subject to a criminal background check. Pay Transparency Act Annual Full
-
. The department is committed to offering a dynamic learning environment and growing opportunities to its talented and dedicated employees. As an entry-level position, the incumbent is expected to acquire the skills
-
for processing, including pathology for H&E marking. They will learn and maintain laboratory equipment, have strong organizational skills to maintain lab stock databases, and work to ensure that laboratory spaces
-
the study of learning, perception, action, and interaction in the physical, material, social, and cultural world. The approach is inter-disciplinary employing ideas and techniques from a number of
-
to maintain objectivity when dealing with sensitive personnel issues and problematic situations. Demonstrated ability to learn new methods for computer aided data reporting/retrieval, new computer applications
-
, engagement, and completion among distinctive student populations at UC San Diego including first-generation, transfer, military-connected, and undocumented and mixed-status family students. The DAO is the main
-
entry, compose correspondence, send/receive faxes, and operate photocopy machine and scanner. Function as liaison between HDH and all other campus departments and non-UCSD businesses as needed
-
System (PACS), operates film digitizing equipment, CD burners, document scanners and similar accessories. Demonstrates knowledge of computers and new technology such as PACS, Computerized Radiography (CR
-
, being at sea from 1 to 4 months per year. Under direction, independently responsible for sensor integration design, development and assembly of computer-based instrumentation and data acquisition systems
-
sequence analysis. Conducts complex statistical analyses, including Bayesian inference, network science, multivariate regression modeling. Builds prediction models using machine learning / AI methods