Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Bowdoin College
- Stanford University
- Cornell University
- Carnegie Mellon University
- New York University
- The Ohio State University
- Argonne
- Princeton University
- Brookhaven Lab
- Oak Ridge National Laboratory
- The University of Arizona
- University of Central Florida
- University of North Carolina at Chapel Hill
- Rutgers University
- Stony Brook University
- Texas A&M University
- University of North Carolina Wilmington
- University of Virginia
- Baylor College of Medicine
- Duke University
- Indiana University
- Northeastern University
- SUNY University at Buffalo
- University of California Irvine
- University of Florida
- University of Nebraska Medical Center
- University of North Texas at Dallas
- Yale University
- Baylor University
- Broad Institute of MIT and Harvard
- California Institute of Technology
- Embry-Riddle Aeronautical University
- Emory University
- Florida Atlantic University
- Genentech
- Harvard University
- Medical College of Wisconsin
- Nature Careers
- Pennsylvania State University
- Purdue University
- Rice University
- The University of South Dakota
- U.S. Department of Energy (DOE)
- University of California, Merced
- University of Cincinnati
- University of Colorado
- University of Houston Central Campus
- University of Maine
- University of Maryland
- University of Miami
- University of Minnesota
- University of Minnesota Twin Cities
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of Oregon
- University of Pennsylvania
- University of Southern California
- University of Texas at Tyler
- University of Washington
- Virginia Tech
- 50 more »
- « less
-
Field
-
chemistry or closely related field in physical chemistry or materials science completed within the last 5 years. Experience in applying artificial intelligence and machine learning tools for materials
-
well as artificial intelligence and machine learning techniques (AI/ML) with emphasis on electronic properties (charge and spin) of a range of materials important to the DOE mission, including the materials classes
-
, and artificial intelligence, and we conduct experiments with both healthy volunteers and clinical patients (PTSD, substance use disorders, mTBI). UNCW postdoctoral scholars gain important training and
-
management and APC academic issues and trends. • Knowledge of emerging trends in Artificial Intelligence, data science, and data management. • Knowledge of emerging trends in public and open scholarship, and
-
is intended to provide mentored research training and experience for a post doc fellow whose interests are aligned with the field of Technology Governance, which could include: artificial intelligence
-
, and artificial intelligence, and we conduct experiments with both healthy volunteers and clinical patients (PTSD, substance use disorders, mTBI). UNCW postdoctoral scholars gain important training and
-
: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
-
focus will be on exploring the utility of artificial intelligence models in the study of the above, studying quantum mechanical generalizations, and uncovering connections to statistical models. Position
-
multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
-
patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models