Sort by
Refine Your Search
-
Listed
-
Employer
- Stanford University
- Argonne
- Pennsylvania State University
- Stony Brook University
- Oak Ridge National Laboratory
- Texas A&M University
- University of Houston Central Campus
- University of North Carolina at Chapel Hill
- Brookhaven Lab
- University of Maryland, Baltimore
- Cornell University
- Nature Careers
- Indiana University
- Northeastern University
- University of Washington
- Virginia Tech
- Yale University
- Baylor College of Medicine
- DePaul University
- New York University
- The Ohio State University
- University of Central Florida
- University of Houston
- University of North Texas at Dallas
- University of Oklahoma
- University of Southern California
- University of Virginia
- Broad Institute of MIT and Harvard
- California Institute of Technology
- Cold Spring Harbor Laboratory
- Duke University
- Embry-Riddle Aeronautical University
- Fred Hutchinson Cancer Center
- Hanyang University
- Harvard University
- Los Alamos National Laboratory
- Loyola University
- Michigan Technological University
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Ohio University
- Princeton University
- Purdue University
- SUNY University at Buffalo
- Shanghai Jiao Tong University
- Texas A&M AgriLife
- The University of Iowa
- The University of North Carolina at Chapel Hill
- University of Arizona
- University of California Davis
- University of California Irvine
- University of California, Merced
- University of Delaware
- University of Florida
- University of Massachusetts
- University of Minnesota
- University of South Carolina
- University of Texas at Arlington
- 48 more »
- « less
-
Field
-
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
-
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
-
the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection
-
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
-
University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA
-
not required as part of this position. Required Qualifications: Strong mathematical background, including expertise in one or more of the following areas: machine learning, statistics, and algorithms
-
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
-
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
-
unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
-
single-cell sequencing, spatial transcriptomics, and machine learning algorithms to to understand, at the tissue and organ level, how specific cellular communications—from synaptic connectivity to neural