13 evolution-"https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at University of Florida
Sort by
Refine Your Search
-
Listed
-
Field
-
-limited position and all applicants MMUST apply through Careers at UF at https://jobs.ufl.edu/. Search for posting #541500. In order to be considered, you must upload references, research interests, and
-
of AI for QC led by Dr. Thorpe in the Department of Chemistry. The research will focus on the development and implementation of AI/ML techniques to extend and accelerate quantum chemical simulations
-
. The project focuses on development of novel immunotherapies to treat autoimmune disease, with an emphasis on Multiple Sclerosis. We are particularly interested in developing new AAV vectors to establish immune
-
the research group of Clifford R. Bowers. This position focuses on the development of parahydrogen-sourced hyperpolarization methodology for nuclear magnetic resonance (NMR) signal enhancement. The successful
-
development. Applicants must have a PhD in chemistry or a related field. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and availability of funds, may
-
Clearinghouse (https://flhousingdata.shimberg.ufl.edu/ ). The Postdoctoral Associate will contribute to an active research agenda examining how inequality shapes differential disaster risk and housing outcomes
-
future • Comprehensive Paid Time Off Packages: (includes over 10 paid holidays, as well as paid family, sick and vacation leave) • Exceptional Personal and Professional Development Opportunities: Access
-
(https://disney.scripps.ufl.edu ) is seeking to hire a Postdoctoral Associate in RNA Chemical Biology. Lab Overview: The Disney group is a chemical biology laboratory focused on developing rational
-
grant-related preliminary studies and other research development activities. Mentoring graduate students, undergraduate students, and other trainees in experimental design and laboratory techniques
-
group to work on the development, implementation, and application of hyper-efficient unsupervised learning techniques to chemical problems, with emphasis on improvements to representation learning and