51 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Florida in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
coordinator and FFL director. Follow all university policies and procedures. Expected Salary: $46,000/annually. https://hr.ifas.ufl.edu/benefits/ Required Qualifications: Bachelor's degree in an appropriate
-
coordinator and FFL director. Follow all university policies and procedures. Expected Salary: $46,000/annually. https://hr.ifas.ufl.edu/benefits/ Required Qualifications: Bachelor's degree in an appropriate
-
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
-
to advance the development of new treatments and improve patient outcomes. To learn more about the Neuromuscular Division at the University of Florida, please visit https://neurology.ufl.edu/divisions
-
with county agents to create new financial education modules. Teach program curriculum. Designs, develops and implements training and educational programs related to financial education. Proactively
-
Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
-
, manufacturing systems, supply chain systems, and transportation systems. Our faculty performs methodological research in data analytics, machine learning, human systems engineering, optimization, simulation, and
-
computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL