Sort by
Refine Your Search
-
models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
-
or soon-to-be completed (typically within the last 0-5 years) in Materials Science, Chemical/Mechanical Engineering, Chemistry, Condensed Matter Physics, or a closely related field. Demonstrated experience
-
engineering, or a related field. Demonstrated expertise in process modeling, process optimization, and technoeconomic analysis. Programming skills in scientific computing languages such as Python and Julia
-
of physical chemistry, inorganic chemistry, computational materials science, or chemical engineering or a closely related field, with demonstrated experience in the scientific application of this knowledge and
-
and contract. Skill in modeling, processing, and analyzing computational results to inform accompanying experimental efforts. Skill in the use of modern collaborative coding practices. Demonstrated
-
, project presentations, and other regular channels. Position Requirements Skill in modeling, processing, and analyzing computational results to inform accompanying experimental efforts. Skill in the use
-
, computational physics and x-ray science. The appointee will benefit from access to world-leading experimental and computational resources at Argonne including some of the world’s largest supercomputers (Polaris
-
We are seeking a Postdoctoral Appointee to work in the Mathematics and Computer Science (MCS) Division of the Computing, Environment, and Life Sciences directorate (CELS) of Argonne National
-
-energy physics or detector technology. The positions are for up to three years and offer a highly competitive salary. The review of applications will start on February 1st. These positions will primarily
-
The Multi-Physics Computations group at Argonne National Laboratory is seeking to hire a postdoctoral appointee on the topic of CFD modeling of internal combustion engines fueled by low-carbon fuels