Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Cornell University
- Northeastern University
- University of South Carolina
- University of Alabama, Tuscaloosa
- University of Colorado
- Dana-Farber Cancer Institute
- Johns Hopkins University
- Nature Careers
- SUNY University at Buffalo
- University of Arkansas
- University of North Carolina at Chapel Hill
- AbbVie
- American University
- Carnegie Mellon University
- Indiana University
- Loyola University
- Montana State University
- New York University
- University of California, San Francisco
- University of Cincinnati
- University of Denver
- University of Kansas Medical Center
- University of Michigan
- University of Rhode Island
- University of Utah
- 16 more »
- « less
-
Field
-
Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
-
a PhD in machine learning, math, stats, physics, or some other technical area by the time the position starts. Additional Qualifications Candidates should have significant experience in some area of
-
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
-
position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
-
for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning
-
duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
-
integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and
-
technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and human data, and a new emphasis on the importance
-
scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
-
, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000