-
research in nanoscience, from concept development through experimental execution, analysis, and dissemination via peer-reviewed publications and presentations Manage and mentor a team of scientists, postdocs
-
the following areas is highly desirable: AI/ML for predictive modeling and inverse design of nanomaterials and nanoscale systems AI-enabled analysis of experimental data (e.g., microscopy, spectroscopy
-
to accelerator operations. Experience working with complex algorithms and data-driven models. Experience using high-performance computing clusters for simulation and data analysis. Ability to model Argonne’s core
-
We are seeking a highly motivated Post-Doctoral Researcher to develop, implement, and advance the IDeA (Intelligent Design and Analysis) co-scientist project. The successful candidates will work