46 machine-learning "https:" "https:" "https:" "https:" "https:" positions at University of Florida in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
of Biostatistics at University of Florida and Dr. Hongkai Ji (remote) in the Department of Biostatistics at John Hopkins University. This position, available immediately, focuses on developing statistical, machine
-
Professor level in the Department of Industrial and Systems Engineering (ISE). We seek applicants with expertise in data analytics. Areas of methodological focus include, but are not limited to, machine
-
Professor level in the Department of Industrial and Systems Engineering (ISE). We seek applicants with expertise in data analytics. Areas of methodological focus include, but are not limited to, machine
-
the opportunity to teach using HiPerGator. ADI maintains and operates the software that powers UF’s enterprise-wide computer systems creating the technological foundation for the campus’ academic and
-
to provide students with fieldwork opportunities abroad, supporting UF’s and the College’s focus on experiential learning. A secondary interest or emerging practice in AI-enhanced research (e.g., machine
-
. The training program is also committed to cultivating an atmosphere that is conducive to learning by providing clinical postdoctoral associates with an appropriate blend of support and challenge. Postdoctoral
-
or University of Florida committees as needed Expected Salary: $45,000 annually; In addition, the University of Florida offers a very competitive benefits package. Learn more by visiting: https://hr.ufl.edu
-
investigators and affiliated faculty/staff to build a portfolio of independent and collaborative research incorporating AI and Machine Learning research methodology into the study of influences on child and
-
the opportunity to teach using HiPerGator. ADI maintains and operates the software that powers UF’s enterprise-wide computer systems creating the technological foundation for the campus’ academic and
-
healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision