Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
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
- Aarhus 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 SURREY
- 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
- 55 more »
- « less
-
Field
-
research on novel brain machine interface technology. The role involves comprehensive testing of chronically implanted carbon fiber electrode arrays in neural recording and stimulation applications. Specific
-
preferred skill, including GIS, spatial suitability modeling, multi-criteria decision methods, and machine-learning-based feature importance. Exposure to resource questions relevant to large-load development
-
the application of machine learning/artificial intelligence (ML/AI) in environmental health. This project aligns with ATSDR's current strategic initiatives and will provide you with opportunities
-
welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We
-
analyzing hyperspectral data and developing machine learning models - Genetic or molecular lab experience - Bioinformatics, or statistical genetics experience - Excellent written and oral communication skills
-
of multiple surveillance and administrative data sources. Development of reproducible analytical workflows using programming languages such as R and Python. Application of machine learning and predictive
-
for relevant systems of EF-hand proteins · Supervise and instruct graduate and undergraduate students in Dr. Pengfei Li’s lab Minimum Education and/or Work Experience A MD or PhD is required in a closely related
-
to regulatory agencies, investors, pharma companies etc. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Develop models
-
programming languages. Experience with DICOM data, medical-image registration, high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image
-
analysis Machine learning and retrieval-augmented AI models for biomarker prioritization and decision support ·Work closely with cross-functional team members to develop hypotheses, interpret data, and