56 evolution "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Argonne
Sort by
Refine Your Search
-
and integrate emerging AI techniques (e.g., agentic workflows, LLMs) into scientific problems, ensuring methods effectively solve real domain challenges. Advanced Model Development: Design and debug
-
scale up (0.5 to 400 L) arrested methanogenesis systems to convert diverse low-value organic waste streams into value-added products (e.g., carboxylic acids), and support the development and scale-up
-
aims to revolutionize the development of therapeutic platforms for IDPs, creating significant advancements in cancer research and treatment strategies. As part of a collaborative initiative with the
-
multidisciplinary team 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 proposal/experiment planning. The postdoc will interface directly with visiting researchers to execute experiments at the beamline, including hands-on support during beamtimes and development of practical
-
scalability studies to identify and improve bottlenecks in large codes. Experience in development of data-driven reduced-order models in one or more of these areas: turbulence, boundary layer flows, combustion
-
development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments. Experience working with large-scale datasets
-
define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
-
. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
-
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