Sort by
Refine Your Search
-
for molecular design (e.g., DFT, MD, AI/ML) is desired, but not required. · Strong oral and written communication skills are required. · Ph.D. in an experimental discipline, such as chemistry, materials
-
data analysis/spectral image processing. Use of data analytics or machine learning to guide process design and optimization. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long
-
Applications are invited for post-doctoral positions in the Cosmological Physics and Advanced Computing Group (CPAC) Group in Argonne National Laboratory’s High Energy Physics (HEP) Division
-
3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines Knowledge of deep learning techniques for time-series and image data Experience with
-
involvement in three SciDAC-5 projects: 1) Femtoscale Imaging of Nuclei using Exascale Platforms, 2) Fundamental nuclear physics at exascale and beyond, and 3) Nuclear Computational Low Energy Initiative
-
, at scale. It will help us better understand and improve DAOS to meet the needs of AI-driven science applications. We expect the postdoc to help prototype, benchmark, and evaluate strategies to better support
-
spectroscopy, as well as experience with high resolution STEM imaging • Excellent written and oral communication skills Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed
-
discipline • A strong experimental background in transmission electron microscopy • Experience with focused ion beam preparation of electron microscopy specimens • Experience with analysis of complex images
-
). This position focuses on The investigation of coupled land-river-ocean processes in coastal flooding applications by developing a coupled E3SM configuration that incorporates a subgrid-scale version of the MPAS
-
, especially XAS and other X-ray spectroscopy techniques, nuclear magnetic resonance spectroscopy, infrared and ultraviolet spectroscopy, as well as experience with high resolution STEM imaging Excellent written