Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Oak Ridge National Laboratory
- Stanford University
- University of North Carolina at Chapel Hill
- University of Washington
- Brookhaven Lab
- Texas A&M University
- Cornell University
- University of Maryland, Baltimore
- Virginia Tech
- Baylor College of Medicine
- Nature Careers
- New York University
- The University of Arizona
- Yale University
- Harvard University
- Indiana University
- Los Alamos National Laboratory
- Loyola University
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Stony Brook University
- Texas A&M AgriLife Extension
- The University of Iowa
- University of Houston Central Campus
- University of Minnesota
- University of South Carolina
- University of Texas at Arlington
- University of Virginia
- 19 more »
- « less
-
Field
-
algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
-
driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
-
optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
-
computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. Major Duties
-
position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
-
skills, expertise, and perspectives necessary to design, conduct, sustain, and disseminate public impact research. We encourage applications from individuals from a broad diversity of PhD-granting
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
-
together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a
-
with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and solutions. Disseminate research findings in publications, posters, project
-
, and evaluate ML and NLP algorithms for scientific and security applications. Work in interdisciplinary collaborations with subject matter experts from a variety of domain sciences and security areas