Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- Baylor College of Medicine
- Northeastern University
- Argonne
- National Aeronautics and Space Administration (NASA)
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- Cornell University
- Rutgers University
- Stanford University
- University of Minnesota
- Yale University
- Broad Institute of MIT and Harvard
- Carnegie Mellon University
- George Washington University
- Lawrence Berkeley National Laboratory
- New York University
- Texas A&M University
- University of Washington
- Duke University
- Indiana University
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- SUNY University at Buffalo
- South Dakota Mines
- Texas A&M AgriLife
- Texas A&m Engineering
- University of California Irvine
- University of Florida
- University of New Hampshire
- University of Texas at Arlington
- University of Texas at Dallas
- Brookhaven National Laboratory
- CNRS
- California Institute of Technology
- Harvard University
- Lehigh University
- Purdue University
- Rochester Institute of Technology
- Sandia National Laboratories
- Stony Brook University
- Technical University of Munich
- The University of Arizona
- Tufts University
- University of Alabama at Birmingham
- University of Arkansas
- University of California
- University of Central Florida
- University of Illinois at Chicago
- University of Massachusetts Chan Medical School
- University of North Texas at Dallas
- University of Pittsburgh
- University of Utah
- University of Virginia
- Villanova University
- Virginia Tech
- Washington State University
- 48 more »
- « less
-
Field
-
resources and collaborating across ORNL, federal agencies, and academic partners. Key Responsibilities: Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular
-
routine background checks. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms
-
involving optical imaging, ultrasound systems, and/or contrast agents Develop computational models and reconstruction algorithms for imaging systems Analyze experimental data and prepare manuscripts
-
, curate, and analyze field measurement datasets and associated environmental and economic information for model parameterization and validation. Develop or enhance model algorithms simulating carbon and
-
develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
-
by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
-
. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
-
, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
-
Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing