669 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" uni jobs at University of Florida
Sort by
Refine Your Search
-
Listed
-
Field
-
impact career outcomes at UF. Leads projects to gather data related to learning inside and outside of the classroom for analysis and interpretation related to career design, experiential learning
-
the ability to work effectively with students, faculty, administrators, and program partners Strong computer skills, including the ability to learn and use student information systems and databases Ability
-
, perform computer-oriented duties for farm office and center records. Apply pesticides and fertilizers to research plots and center grounds. Calibrate sprayers, fertilizer spreaders, and handheld boom
-
planning to support student learning and community engagement. The incumbent will leverage partnerships with campus and the community to ensure that students have access to a variety of reputable leadership
-
and evidence of, or potential for, extramural funding. Integration of machine learning/AI approaches in research program Special Instructions to Applicants: Attach a cover letter, curriculum vitae
-
employment. Maintain office mail, department work orders, equipment inventory in Asset Management and in the computer/mobile device tracking system, and vehicle inventory. Compiles data, conducts research
-
requirements. Demonstrated proficiency with standard office software (e.g., word processing, spreadsheets, email/calendar tools) and the ability to learn new computer systems. Special Instructions to Applicants
-
Classification Title: Medical Research Administrator Classification Minimum Requirements: High school diploma or associate degree General computer skills, including competence with Microsoft Word
-
to and from camp within the county and the surrounding areas. Camp staff also must be able to adapt quickly and positively to schedule changes, demonstrate willingness and ability to learn the principles
-
to, application of field-based approaches, statistical modeling, artificial intelligence/machine learning, and molecular techniques aimed to identify impacts and to improve detection, removal, and monitoring