Sort by
Refine Your Search
-
computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
-
will receive full consideration. Key Responsibilities AI-ready data and analysis for the ePIC Barrel Imaging Calorimeter and our Jefferson Lab program Support for the PRad-II and X17 experiments
-
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
-
measurements at the Center for Nanoscale Materials and analysis of these data. The in-situ experiments will be driven by external electric fields and relevant optical stimuli. Although exceptional candidates in
-
for electro-optic modeling Desirable Skills Data analysis using Python Experience with autonomous or AI-assisted synthesis workflows Familiarity with quantum transduction or quantum information science
-
, the ALCF is studying the application of these techniques to a variety of our science applications, including but not limited to: Computational Chemistry, Plasma Physics, High Energy Physics, analysis
-
-based (in planta) expression systems. Membrane proteins production and purification Strong molecular biology skills (cloning, vector design, transformation), protein purification and analysis, and
-
. Experience with synchrotron X-ray scattering experiments and image analysis is preferred. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Job Family Postdoctoral Job
-
heterogeneous Catalysis focusing on stimulus driven and non-equilibrium catalysis Design, synthesize, and characterize well-defined complexes supported on metal oxide or non-traditional support materials
-
campus in Lemont, Illinois five days per week. Preferred Qualifications Proficiency in programming (e.g., Python) for advanced data analysis, machine learning, and computer vision to accelerate insights