127 machine-learning-"https:" "https:" "https:" "https:" "https:" Fellowship research jobs in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Cornell University
- Nature Careers
- Johns Hopkins University
- Northeastern University
- University of South Carolina
- Zintellect
- Indiana University
- Princeton University
- University of Alabama, Tuscaloosa
- City of Hope
- Dana-Farber Cancer Institute
- University of Arkansas
- University of Colorado
- California State University, San Bernardino
- Carnegie Mellon University
- Hobart and William Smith Colleges
- New York University
- SUNY University at Buffalo
- Stanford University
- The University of Chicago
- The University of Memphis
- University of Kansas Medical Center
- University of Kentucky
- University of Michigan
- University of North Carolina at Chapel Hill
- AbbVie
- American University
- Duke University
- Lawrence Berkeley National Laboratory - Physics
- Loyola University
- Montana State University
- Oak Ridge National Laboratory
- Rutgers University
- University of California Los Angeles
- University of California, San Diego
- University of California, San Francisco
- University of Cincinnati
- University of Denver
- University of Minnesota
- University of North Carolina at Charlotte
- University of Rhode Island
- University of Texas at Austin
- Vanderbilt University
- 34 more »
- « less
-
Field
-
experience in Stata, R, SAS or similar statistical programming languages Prior experience with machine learning and natural language processing is a plus. Application Instructions: To be considered, please
-
or similar statistical programming languages Prior experience with machine learning and natural language processing is a plus. Application Instructions: To be considered, please submit the following items
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data. 2. Modeling for Regulatory Science – Leveraging drug development and regulatory
-
individual to join this exciting collaborative research program that builds upon existing strengths in ADRD biology and genetics (JAX) and bioinformatics methods and machine learning approaches (Roux
-
instrumentation and analysis, data management, software applications, record keeping, compliance training, and the principles of scientific study design. Learning both general and specialized research skills
-
of the programs is to advance foundational and applied research in contemporary artificial intelligence (AI) and machine learning (ML), as well as AI-enabled science. Specifically, our goals are to pioneer cutting
-
of Medicine We focus broadly on quantitative and machine learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images, OCT scans, MRI, CT, X-ray and digital pathology). We bridge
-
University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
Electrical & Computer Engineering Work Location Grigg & EPIC Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per week 40 Work Schedule Monday through
-
closely related field (e.g. Chemistry, Physics, Biophysics, Biochemistry, Molecular biology, etc) Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA
-
. 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