Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
research projects with an emphasis on image analysis and computational pathology and the development of AI-driven data pipelines. The ideal candidate is a motivated individual with strong programming skills
-
advanced AI frameworks and the unique needs of the Advanced Research Computing Technology and Innovation Core’s (ARCTIC) user communities, fostering innovation by guiding researchers in implementing scalable
-
of Chicago Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, and the Law School. The Predoctoral Research in Economics Program (PREP) is intended
-
, and digestive diseases, to genetics, genomics, neurosciences, and women's health. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully
-
algorithms, databases, operating systems, networks, computer security, and software engineering; (2) prepare course syllabi and handouts; (3) evaluate and grade student assignments and papers; (4) maintain
-
research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
-
of this position are to: (i) develop novel mathematical/computational algorithms, biogeochemical models, or other mathematical frameworks enhanced by big microbiome data analysis; (ii) design and develop
-
Primary Duties & Responsibilities: Develop, implement, and maintain computer algorithms for analyzing structural and functional MRI data for neuroimaging-related neuroscience research purposes, including
-
types. The multi-scale computational model integrates mechanistic molecular and cellular-level models with population whole-body models, utilizing machine learning and distributed computing solutions
-
University of California, San Francisco | San Francisco, California | United States | about 2 months ago
computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium