Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Carnegie Mellon University
- Indiana University
- Northeastern University
- Johns Hopkins University
- Zintellect
- Massachusetts Institute of Technology
- Nature Careers
- Princeton University
- The University of Alabama
- University of Texas at Austin
- AbbVie
- Auburn University
- Central Michigan University
- Emory University
- Florida Atlantic University
- Genentech
- George Mason University
- Georgetown University
- Lawrence Berkeley National Laboratory - Physics
- Missouri University of Science and Technology
- Montana State University
- Oak Ridge National Laboratory
- Purdue University
- The University of Chicago
- University of Alabama, Tuscaloosa
- University of Maryland
- University of Michigan
- University of Notre Dame
- University of Rhode Island
- University of San Francisco
- Villanova University
- 22 more »
- « less
-
Field
-
health risks or co-occurring adversities; mental health; risk and resilience in response to race- or weight-based stigma and discrimination; use of artificial intelligence (AI) and technology to address
-
of biological, artificial, and collective intelligence through collaboration across a wide range of fields. We seek enthusiastic scientists and scholars who will embrace the chance to help set the agenda for our
-
(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
-
scalable systems of design and analytic planning methods to make tangible and systemic impact, and to explore the risks and potentials of emerging technological capabilities such artificial intelligence
-
progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
-
-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following
-
), Centrally-linked longitudinal peripheral biomarkers of AD in multi-ethnic populations (CLEAR-AD.org), Artificial Intelligence for Alzheimer’s Disease (AI4AD.org), Alzheimer’s Disease Metabolomics Consortium
-
), Centrally-linked longitudinal peripheral biomarkers of AD in multi- ethnic populations (CLEAR-AD), Artificial Intelligence for Alzheimer’s Disease (AI4AD), Alzheimer’s Disease Metabolomics Consortium (ADMC
-
development. This position sits at the intersection of artificial intelligence, human genetics, and safety assessment, supporting AbbVie's commitment to leveraging genetic insights to improve clinical success
-
in this position will conduct/lead applied as well as fundamental research in physics-informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities