175 machine-learning "https:" "https:" "https:" Fellowship research jobs in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Nature Careers
- Cornell University
- Simons Foundation/Flatiron Institute
- University of South Carolina
- Princeton University
- Stanford University
- Northeastern University
- Johns Hopkins University
- University of Alabama, Tuscaloosa
- Vanderbilt University
- City of Hope
- Indiana University
- New York University
- University of California Los Angeles
- University of California, Los Angeles
- University of North Carolina at Chapel Hill
- Zintellect
- Boston College
- California State University, San Bernardino
- Dana-Farber Cancer Institute
- Genentech
- Hobart and William Smith Colleges
- Korea Institute for Advanced Study
- Medical College of Wisconsin
- SUNY University at Buffalo
- The University of Alabama
- The University of Memphis
- University of Arkansas
- University of Colorado
- University of Michigan - Ann Arbor
- University of Rhode Island
- University of Texas at Austin
- AbbVie
- American University
- Argonne
- Carnegie Mellon University
- Central Michigan University
- Columbia University
- Duke University
- Lawrence Berkeley National Laboratory - Physics
- Loyola University
- Massachusetts Institute of Technology
- Montana State University
- Oak Ridge National Laboratory
- Rutgers University
- Syracuse University
- The California State University
- The University of Arizona
- The University of Chicago
- University of California
- University of California Davis
- University of Kansas Medical Center
- University of Michigan
- University of North Carolina Wilmington
- University of North Carolina at Charlotte
- University of Southern California (USC)
- University of Utah
- 48 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
accessed using the link above. Jiawei Zhou Ph.D. The candidate will be co-mentored by Dr. Yanguang (Carter) Cao and Dr. Jiawei Zhou to advance the development of artificial intelligence/machine learning (AI
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
intelligence/machine learning (AI/ML) and pharmacokinetic/pharmacodynamic (PK/PD) models that reduce reliance on animal testing and enable the quantitative evaluation of safety and efficacy for antibody and mRNA
-
research applications for projects thematically connected to existing research projects and initiatives at NYUAD's divisions of Arts & Humanities and Social Sciences (see https://nyuad.nyu.edu/en
-
team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast-accurate-portable-diagnostics/. What you’ll
-
. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
-
the learning needs of diverse audiences create robust simulation cases and courses based on specific learning objectives develop and refine debriefing skills for all levels of learners design and implement
-
University More Jobs from This Employer https://main.hercjobs.org/jobs/21774562/postdoctoral-research-fellow-in-statistical-machine-learning-and-biomedical-ai Return to Search Results
-
Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
across visual, textual, and biomedical data modalities. While one major application area is biomedical and neuroscience imaging, the research will emphasize core AI challenges in representation learning
-
Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
across visual, textual, and biomedical data modalities. While one major application area is biomedical and neuroscience imaging, the research will emphasize core AI challenges in representation learning
-
research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a