Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- University of Washington
- Stanford University
- University of Minnesota
- University of North Carolina at Chapel Hill
- Cornell University
- Northeastern University
- Princeton University
- Rutgers University
- The University of North Carolina at Chapel Hill
- Argonne
- George Washington University
- Indiana University
- SUNY Polytechnic Institute
- The University of Arizona
- University of California Berkeley
- University of Houston
- University of Texas at Arlington
- University of Utah
- Washington University in St. Louis
- Argonne National Laboratory
- Axoniverse
- Baylor College of Medicine
- Broad Institute of MIT and Harvard
- Brookhaven Lab
- Brookhaven National Laboratory
- Caltech
- Dartmouth College
- DePaul University
- Episteme
- Georgia Institute of Technology
- Harvard University
- Loyola University
- Massachusetts Institute of Technology
- Missouri University of Science and Technology
- North Carolina A&T State University
- Northwestern University
- Texas A&M University
- University of California Merced
- University of California, Berkeley
- University of California, Merced
- University of Florida
- University of Oklahoma
- University of Texas at Dallas
- University of Virginia
- Zintellect
- 36 more »
- « less
-
Field
-
. The participant may also have the opportunity to be involved with the development of novel algorithms, bioinformatic tools or analytical pipelines that quantify the diversity of RNA viruses that may be deployed in
-
simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
developing novel methods and algorithms for applications in the Engineering Design domain; demonstrating a commitment to deliver results; working on research proposals; and working in a team environment. Job
-
, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
-
properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
-
will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
-
calculations Expertise in one or more of the following: computational methods, software and algorithm development, high-performance computing, and data analysis Proficiency in relevant programming languages (e.g
-
on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position collaborates with faculty, students, and external partners
-
for real-world transportation agencies. The Postdoctoral Associate will join a multidisciplinary team of faculty, researchers, software developers, and agency partners, and will support ongoing deployment
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language and generative models. Develop novel algorithms for generative modeling tasks and optimize