Sort by
Refine Your Search
-
formal education in physical chemistry, inorganic chemistry, computational materials science, or chemical engineering at the Ph.D. degree level with zero to five years of experience or equivalent in
-
Facility (MERF), a pre-pilot-scale research and development facility well-equipped for process development, scale-up, and prototyping. The Postdoctoral Appointee will be responsible for integrating materials
-
The Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of process technologies for next-generation nuclear/chemical/electrochemical
-
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
-
modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
-
the last 0-5 years) in fields of physical chemistry or physics Strong background in quantum mechanics, photophysics, and photochemistry Hands-on experience with ultrafast nonlinear optical spectroscopy (e.g
-
The Multiphysics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate’s research will involve synergistic collaborations with a
-
The Nuclear Science and Engineering (NSE) Division is seeking a postdoctoral appointee to develop computational methods and computer codes to model the physics and engineering of advanced nuclear
-
focus on further advancing the ATTA technique. The Physics Division has an active and broad-ranging program at the intersection of nuclear and atomic physics including a strong focus on fundamental
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
, large-scale computational science, and simulation of networked physical systems Familiarity with techniques for sensitivity analysis and handling high-dimensional problems Experience in power grid