Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Harvard University
- University of Michigan
- City of Hope
- Cornell University
- University of Texas at Austin
- Zintellect
- Barnard College
- Dana-Farber Cancer Institute (DFCI)
- Indiana University
- Northeastern University
- Loyola University
- Simons Foundation;
- University of Colorado
- University of Kansas Medical Center
- Aarhus University
- American University
- Carnegie Mellon University
- Center for Biologics Evaluation and Research (CBER)
- Central Michigan University
- Institute for Basic Science
- Johns Hopkins University
- Marquette University
- Montana State University
- Oden Institute for Computational Engineering and Sciences
- SUNY University at Buffalo
- 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 Denver
- University of Idaho
- University of Maryland, Baltimore
- University of Michigan (U-M)
- University of New Mexico
- University of North Carolina at Chapel Hill
- University of Rhode Island
- University of South Carolina
- 27 more »
- « less
-
Field
-
needed, and otherwise contribute to overall lab operations. The applicant will be a collaborative, impact-focused problem solver who wants to be part of a dynamic team. Learn more about the innovative work
-
scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
-
of induced pluripotent stem cell-based human disease models 2) Understanding the role of immunity during tumorigenesis as well as disease relapses in order to design novel inhibitors, CAR-T cell therapy and
-
engineered constructs. Learn more about the innovative work led by Dr. Chris Chen here: https://bdc.bu.edu/bdc-team/. What you’ll do: Independently conduct research on liver cell proliferation, expansion, and
-
(kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis. The Herman B Wells Center for Pediatric Research
-
the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
-
interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
-
of novel computational/biostatistical/machine learning methods for the integration of multiple, diverse dataset and the synthesis of hypotheses around the molecular mechanisms that drive the co-occurring
-
. 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
-
veterinary technician simulation training as well as internal and external continuing education. This experience will provide the foundation necessary to: identify the learning needs of diverse audiences