Sort by
Refine Your Search
-
The Data Science and Learning Division (DSL) at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting edge molecular and microbiology work to enhance non-proliferation
-
The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
-
This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH
-
://arxiv.org/abs/2509.00098 ) This project sits at the intersection of artificial intelligence and materials characterization and modeling. The goal is to create an AI system that can intelligently operate
-
the application of these methods and tools to complex issues in the domains of environmental, water, and energy system analysis. Position Requirements Recent or soon-to-be completed (typically within the last 0-5
-
Directorate (PSE) at Argonne National Laboratory is seeking applicants for a Postdoctoral Appointee who will conduct cutting-edge research in AI for Materials Science Discovery, with a focus on critical
-
photonic platforms for hybrid quantum systems. The role offers a unique opportunity to engage in advanced materials synthesis, nanofabrication, and multimodal characterization using Argonne’s world-class
-
materials characterization (e.g., atomic force microscopy). Key responsibilities include designing and executing experiments, analyzing and interpreting complex datasets, and disseminating results through
-
and to communicate complex results effectively in writing and presentations. Record of peer-reviewed publications commensurate with career stage. Commitment to Argonne’s core values and safe work
-
magnetic thin films, patterned structures, and complex interfaces. In this advertised role, you will be conducting real-space imaging of magnetic heterostructures using LTEM to understand spin textures and