Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- University of Michigan
- AbbVie
- Northeastern University
- Indiana University
- University of South Carolina
- University of Michigan - Ann Arbor
- University of Texas at Austin
- Nature Careers
- Stanford University
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Colorado
- City of Hope
- Duke University
- Loyola University
- SUNY University at Buffalo
- Simons Foundation
- University of California
- American University
- Auburn University
- Carnegie Mellon University
- Colorado State University
- Cornell University
- Drexel University
- Genentech
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- Medical College of Wisconsin
- Montana State University
- National Renewable Energy Laboratory NREL
- New York University
- Saint Louis University
- Simons Foundation;
- The University of Arizona
- Tufts University
- University of California Davis
- University of Cincinnati
- University of Maryland
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Utah
- Zintellect
- 33 more »
- « less
-
Field
-
research is open; we are particularly interested in those working in the period between 1900 and the present. Open to scholars with PhDs in Science and Technology Studies and related fields whose research
-
use of molecular assays such as real-time PCR and next-generation sequencing to study the prevalence of infectious diseases in the target study populations. Learning about sample testing under a
-
(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
-
balance of supervised investigation and work experience in a learning environment that will expose the participant to activities across the drug development process. We are seeking scientists from U.S
-
transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
-
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
-
-performance computing, machine learning models (eg. LLM), probabilistic models for data, novel techniques for making measurements, visualization tools, and community-oriented foundational software tools. Please
-
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 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
-
Transduction Job Description Saint Louis University is a Catholic Jesuit Institution dedicated to student learning, research, health care, and service. This Postdoctoral Fellow position is in the chemistry