60 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "Sciences Po" Postdoctoral positions at Argonne
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of reaction mechanisms in molten salts and apply insights to process development and scale up. Project activities will include the design and development of advanced sensors and flow systems for molten salts
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of experimental quantum communication hardware development, optical memory qubit characterization, and fiber-based networking demonstrations using novel memory qubits. The goal is to employ the natural telecom
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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
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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
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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
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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
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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
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define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
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. 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
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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