Sort by
Refine Your Search
-
, and use of novel architectural features. Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing and housing the Argonne
-
The Advanced Grid Modeling group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis is seeking a dedicated Postdoctoral Researcher. This role is ideal
-
communication skills. Collaboration skills and the ability to work with a team in an interdisciplinary environment. Good: Direct research experience in near field optical dynamics, nonlinear optics, and optical
-
of scientists and High-Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
-
to synthesize research findings into work products such as articles for publication in scientific journals, technical reports, presentations at professional conferences, etc. Strong self-motivation and interest
-
, networking, and leadership. Position Requirements Required Knowledge, Skills, and Experience: This level of knowledge is typically achieved through a formal education in economics, operations research, public
-
work as a part of a multidisciplinary research team comprised of scientists from Scientific User Facilities at several National Laboratories. The X-ray Science Division (XSD) of Argonne National
-
scientists to run the simulations at-scale using both current large clusters and the next generation supercomputing architectures. Work to consistently meet priorities and deadlines set by the research sponsor
-
) at Argonne National Lab (near Chicago, USA). The postdoctoral researcher will work on the development of large-scale molecular dynamics, AI and machine learning based analysis to understand ferroelectric
-
. 2-3 years of work or research experience in energy supply chain analysis, global trade modeling, or a closely related field. Analytical skills and the ability to apply economic principles to supply