Sort by
Refine Your Search
-
preservation (e.g., glycerol stocks, subculturing), aseptic technique, and operation under BSL-1 and BSL-2 containment requirements. Experience with microbial molecular biology techniques, including DNA/RNA
-
) of electrochemical energy storage devices (diagnosis) and predict the SOH into the future (prognosis). The primary projects this postdoc will contribute to relate to lithium-ion batteries, advanced lead-acid batteries
-
candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
-
related field. Experience with finite element simulations and developing constitutive models. Knowledge of high temperature creep crack growth. Knowledge of engineering design codes such as the ASME Boiler
-
computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
-
thin film deposition is preferred. Advanced image processing and analysis skills. Experience with micromagnetic simulation is preferred. Ability to work independently as well as in collaboration with a
-
methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
-
the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific
-
extreme regional compound flooding within a global Earth system model. The aim is to enable realistic coastal flooding simulations within seasonal-to-decadal simulations and to advance DOE’s capability
-
would be part of a dynamic team working collaboratively with researchers in Q-NEXT (both at Argonne and other member institutions) on both hardware development and network-scale benchmarking of memory