Sort by
Refine Your Search
-
simulations and experiments across scientific user facilities, leveraging data to understand complex material phenomena across scales. Key Responsibilities Design, implement, and validate physics-informed AI/ML
-
. Design and implement synchronization and timing electronics, including pulse, function, and delay generators, for sub-nanosecond and femtosecond measurements. Analyze multidimensional datasets (time, space
-
key element of the two-beam acceleration concept Emphasize Bayesian optimization approaches and integrate these methods into the facility control system Design, execute, and analyze accelerator
-
databases and retrieval-augmented generation (RAG) and integrate agentic AI systems to meet the demands of large-scale fine-tuning and inference. The postdoc will also work on design and implement agentic-AI
-
facilities. Collaboration with researchers at Fermilab, the University of Chicago, and Northwestern University is strongly encouraged. Applicants should submit Curriculum vitae Brief statement of research
-
artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard Model measurements, and searches
-
multidisciplinary team in heterogeneous Catalysis focusing on non-traditional catalysts and non-equilibrium catalysis • Design, synthesize, and characterize well-defined complexes supported on metal oxide or non
-
magnets (e.g.: FGT and FeGe). The project will involve imaging the nanomagnetic thin films while simultaneously performing in-situ field and temperature driven experiments. Additional experiments may
-
optimization of hydropower systems and their integration with broader electricity markets. Conduct research on electricity system operations, planning, and market design, including evaluation of economic and
-
. Design, implement, and validate experimental setups; conduct synchrotron-based measurements on quantum and energy materials. Build robust data reduction and PDF analysis workflows; document best practices