Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Oak Ridge National Laboratory
- University of Colorado
- University of California
- University of Kansas
- Zintellect
- Brookhaven National Laboratory
- Duke University
- Lawrence Berkeley National Laboratory
- Nature Careers
- Simons Foundation/Flatiron Institute
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of California Davis
- University of California, Berkeley
- University of Southern California
- University of Southern California (USC)
- University of Texas Rio Grande Valley
- Virginia Tech
- 8 more »
- « less
-
Field
-
to address computational challenges in different scientific domains. The successful candidate is expected to design, develop, and integrate novel computational techniques, including software and numerical
-
The National Energy Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher — Scientific Machine Learning (NESAP) to join the Workflow
-
supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
-
for massively parallel computers. Experience with quantum many-body methods. Preferred Qualifications: A strong computational science background. Familiarity with coupled-cluster method. Understanding
-
tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
-
the physical effects of the propagation environment; computational/numerical modeling using novel and standard approaches, such as, entropy maximization, immunology, and high performance parallel processing; and
-
through computational methods, including data analysis, theory, modeling and simulation. Directed by Dr. Leslie Greengard, the mission at the Flatiron Institute's Center for Computational Mathematics is to
-
, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped
-
relating to research developments in computer science, and technological applications of computing. Core topics include – but are not limited to – fundamental computer science, numerical methods, computing
-
and a balance of personal and professional values. In addition to a vibrant and highly competitive residency program with 25 positions, we offer 9 fellowships and participate in numerous graduate