-
seeking a postdoctoral appointee to join our team focused on designing the communication infrastructure for next-generation High-Performance Computing (HPC) and Artificial Intelligence (AI) systems
-
; mathematical and algorithmic underpinnings of machine intelligence; explainable artificial intelligence (XAI); physics-aware artificial intelligence (PAI); and algorithms and techniques for materials discovery
-
physics phenomenology. Members in the Particle Theory Group work on physics within and beyond the Standard Model, phenomenology at current and future colliders, as well as emerging areas in Artificial
-
focus will be on exploring the utility of artificial intelligence models in the study of the above, studying quantum mechanical generalizations, and uncovering connections to statistical models. Position
-
multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
-
position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate