Sort by
Refine Your Search
-
Employer
- Zintellect
- Harvard University
- City of Hope
- Cornell University
- Indiana University
- Northeastern University
- Center for Drug Evaluation and Research (CDER)
- University of Michigan
- Dana-Farber Cancer Institute (DFCI)
- University of Texas at Austin
- University of Arkansas
- University of California
- Barnard College
- Carnegie Mellon University
- Center for Devices and Radiological Health (CDRH)
- Loyola University
- Missouri University of Science and Technology
- University of North Carolina at Charlotte
- Central Michigan University
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- Simons Foundation;
- University of Colorado
- University of Denver
- University of Kansas Medical Center
- University of Maryland, Baltimore
- University of Notre Dame
- University of South Carolina
- Yale University
- American University
- Center for Biologics Evaluation and Research (CBER)
- Duke University
- Florida Atlantic University
- Florida International University
- Georgia Southern University
- Indiana State University
- Institute for Basic Science
- Marquette University
- Mayo Clinic
- Montana State University
- National Center for Toxicological Research (NCTR)
- New York University
- Oden Institute for Computational Engineering and Sciences
- Office of the Commissioner (OC)
- Pennsylvania State University
- Princeton University
- SUNY University at Buffalo
- Simons Foundation/Flatiron Institute
- St Jude Children's Research Hospital
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- University of Alabama, Tuscaloosa
- University of California, San Diego
- University of Idaho
- University of Michigan (U-M)
- University of Michigan - Flint
- University of Nevada, Reno
- University of New Mexico
- University of North Carolina at Chapel Hill
- University of Rhode Island
- University of Texas Rio Grande Valley
- Villanova University
- Visterra, Inc.
- Weill Cornell Medicine
- 53 more »
- « less
-
Field
-
Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 21 hours ago
image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
-
fellow to join the multidisciplinary research team of Dr. Akhilesh Pandey at Mayo Clinic, Rochester, working at the intersection of digital pathology, artificial intelligence (AI), and machine learning
-
techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
-
Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
-
Details Title Postdoctoral Fellow in Geometric Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description A
-
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
-
Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 2 days ago
image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
-
Details Title Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
-
brain disorders such autism spectrum disorder and bipolar disorder, by utilizing recent advances in genetics and genomics, and through collaborations with groups using machine learning. We are developing
-
single-cell and single-nucleus multi-omics, machine learning/AI, computational biology, and experimental validation to understand cardiovascular disease progression and identify novel therapeutic targets