-
of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine
-
on chemical recycling processes and organometallic catalysis Perform mechanistic studies using reaction kinetics analysis and related physical organic and inorganic techniques Collaborate effectively within a
-
relevant for data manipulation and analysis including experience with creating and using complex models in Simulink & scripting in Matlab, Python, R. A successful candidate must model Argonne’s Core Values
-
, including community groups, governmental bodies, and private sector entities. Conduct rigorous analysis and develop models for improving the domestic and global resilience of supply chains for energy
-
applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
-
complex mixtures. Day-to-day responsibilities will include designing and fabricating electrochemical reactor prototypes, conducting electrodeposition experiments in deep eutectic solvent (DES) media
-
appropriate, experimental apparatus Prepare and characterize materials using laboratory-based analytical techniques Analyze and interpret complex, multimodal experimental datasets Communicate research results
-
-grade algorithms. Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions. Excellent communication skills and a strong interest in interdisciplinary
-
or cloud environments. Experience with complex scientific datasets and reproducible analysis or simulation workflows. Effective written and oral communications skills. Demonstrated ability to work both
-
quantum transduction and terahertz (THz) photon generation via enhanced light–matter interactions. The postdoc will lead efforts in device patterning and the integration of complex materials—such as