Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Indiana University
- Cornell University
- Northeastern University
- University of Arkansas
- Zintellect
- Johns Hopkins University
- Loyola University
- Bowdoin College
- City of Hope
- Dana-Farber Cancer Institute (DFCI)
- New York University
- Princeton University
- University of Colorado
- University of Kansas Medical Center
- University of Notre Dame
- University of South Carolina
- University of Texas at Austin
- Yale University
- American University
- Carnegie Mellon University
- Florida Atlantic University
- Florida International University
- Institute for Basic Science
- Lawrence Berkeley National Laboratory
- Montana State University
- Pennsylvania State University
- SUNY University at Buffalo
- Simons Foundation/Flatiron Institute
- University of Alabama, Tuscaloosa
- University of California, San Diego
- University of Denver
- University of Idaho
- University of Michigan (U-M)
- University of Michigan - Flint
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Rhode Island
- University of Texas Rio Grande Valley
- Weill Cornell Medicine
- 30 more »
- « less
-
Field
-
engineered constructs. Learn more about the innovative work led by Dr. Chris Chen here: https://bdc.bu.edu/bdc-team/. What you’ll do: Independently conduct research on liver cell proliferation, expansion, and
-
Radiology faculty collaborator, to define and address clinically meaningful research problems. • Design, implement, and evaluate machine learning and AI methods for medical imaging using real-world clinical
-
needed, and otherwise contribute to overall lab operations. The applicant will be a collaborative, impact-focused problem solver who wants to be part of a dynamic team. Learn more about the innovative work
-
projects, as well as in multiagent systems, including computational game theory, security games, machine learning in multiagent settings, automated planning under uncertainty, social networks and others
-
protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
-
on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas
-
scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
-
. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to solve problems. The Successful Candidate Will A curious scholar with a
-
community. Fellows teach one small seminar during their fellowship year appropriate for graduate students and advanced undergraduates. Though courses are designed to fit the focal theme, there are no
-
, or comparable research experience, along with significant experience in machine learning, computer programming, computational biological applications. A strong background in statistics and biology. Experience