Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of North Carolina at Chapel Hill
- Brookhaven National Laboratory
- Brookhaven Lab
- New York University
- Stony Brook University
- University of Washington
- Argonne
- University of Minnesota
- Baylor College of Medicine
- Oak Ridge National Laboratory
- Rutgers University
- Stanford University
- University of Florida
- Duke University
- Emory University
- Loyola University
- Medical College of Wisconsin
- National Aeronautics and Space Administration (NASA)
- Nature Careers
- Texas A&m Engineering
- The Ohio State University
- The University of Arizona
- University of Kentucky
- University of Miami
- University of Oregon
- Washington University in St. Louis
- Carnegie Mellon University
- Case Western Reserve University
- Central State University
- Colorado State University
- Cornell University
- Fred Hutchinson Cancer Center
- Georgia State University
- Harvard University
- Johns Hopkins University
- LIGO Laboratory
- Michigan Technological University
- Northeastern University
- Pennsylvania State University
- Saint Louis University
- Texas A&M University
- The University of Chicago
- The University of Iowa
- The University of Memphis
- The University of North Carolina at Chapel Hill
- University of Arkansas
- University of California
- University of Central Florida
- University of Houston
- University of Maine
- University of Maryland, Baltimore
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of Oklahoma
- University of Texas at Arlington
- University of Utah
- University of Virginia
- Virginia Tech
- Wayne State University
- Yale University
- Zintellect
- 51 more »
- « less
-
Field
-
Wu Tseng. The BIG-CT research laboratory is focused on design and development of X-ray based imaging systems, imaging techniques, image processing, and image analysis, with an emphasis on clinical
-
research protocols and procedures, including in computational tasks where data visualization, preprocessing, or interpretation can be improved. Devises and deploys custom machine learning approaches where
-
. Evaluates machine learning training using tools such as precision-recall metrics, receiver-operating characteristics curves, and confusion matrices. Trains and evaluates neural networks for computer vision
-
artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
-
artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
-
Experience with super-resolution ultrasound, US localization microscopy, photoacoustic imaging, elasticity imaging, pulse encoding, solving inverse problems, machine learning, AI, SolidWorks, 3D printing FLSA
-
project quantifying plant anatomical diversity, the developmental processes that generates this diversity, and how this anatomical diversity influences biomechanical properties. The ideal candidate will
-
programming skills Preferred Qualifications Track record of top-tier machine learning publications Experience with machine learning on medical images Experience designing language model or vision–language model
-
professional domains and a desire to ask big-picture questions. Preferred Qualifications: Familiarity with natural language processing (NLP) or network science. Experience with machine learning libraries like
-
machine learning. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software