Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Stanford University
- University of North Carolina at Chapel Hill
- Pennsylvania State University
- Stony Brook University
- Oak Ridge National Laboratory
- Texas A&M University
- Brookhaven Lab
- University of Houston Central Campus
- University of Maryland, Baltimore
- Cornell University
- Nature Careers
- University of Washington
- Indiana University
- The Ohio State University
- Virginia Tech
- Yale University
- Baylor College of Medicine
- DePaul University
- National Renewable Energy Laboratory NREL
- New York University
- Northeastern University
- The University of Arizona
- The University of Iowa
- University of California, Merced
- University of Central Florida
- 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 North Carolina at Chapel Hill
- University of Arizona
- University of California Davis
- University of California Irvine
- University of Delaware
- University of Florida
- University of Houston
- University of Kansas
- University of Massachusetts
- University of Minnesota
- University of Texas at Arlington
- University of Texas at Dallas
- 51 more »
- « less
-
Field
-
clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms
-
Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
-
within the last 0-5 years) in computational science, mathematics, physics, or a related field with a focus on image processing. Proven experience in algorithm and software development. Expertise in Python
-
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
-
be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
-
. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
-
encompass: Catalysts Synthesis: Utilize your expertise in materials synthesis to develop novel catalysts guided by machine learning algorithms Catalyst Performance Evaluation: Utilize aqueous electrochemical
-
inverter-based resources for performing real-time simulations in Opal-RT. Develop and prototype advanced control algorithms for grid forming and grid following inverters. Develop and demonstrate
-
external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation