-
Classification Title: Post-Doctoral Associate in Artificial Intelligence and Quantum Chemistry Classification Minimum Requirements: A Ph.D. in physical/theoretical chemistry or artificial
-
collaboration with the UF Artificial Intelligence initiative. The successful candidate will have the opportunity to work on cutting-edge projects aimed at building large-scale models for neuroimaging and
-
combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
-
general research support for ongoing federally funded laboratory activities. Expected Salary: $18.00 Hourly Required Qualifications: High School Diploma. Preferred: B.Sc. degree in Artificial Intelligence
-
Informatics (HOBI) at the University of Florida (UF) is seeking a highly motivated Postdoctoral Researcher with a strong background in biomedical informatics, artificial intelligence, machine learning, or data
-
artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
-
Classification Title: Post-Doctoral Associate in Philosophy and Ethics of Artificial Intelligence Classification Minimum Requirements: A PhD in Philosophy, Computer Science, or another AI-related
-
. The candidate will work on several collaborative projects and funding proposals related to the research areas of focus at the HARP lab including cybersecurity, privacy, artificial intelligence, risk, trust, and
-
Postdoctoral Research Associate. The successful candidate will contribute to research projects focused on advancing automation, artificial intelligence, robotics, sensing, data analytics, and digital
-
technological landscapes of Artificial intelligence, machine learning, omics data integration, systems biology, biophysics, and drug discovery and maintain knowledge of literature related to the areas of research