-
in condensed matter physics, or a closely related field completed within the last 5 years Extensive experience in neutron and/or X-ray scattering Experience in scattering theory, quantum many-body
-
chemistry, radiochemistry, theory, spectroscopy, and materials characterization. This project will develop materials and processing technologies that will result in a transformational improvement in
-
of compiler- or AI‑generated code. Mathematical Foundations: Background in linear algebra, graph algorithms, and related areas central to dataflow and tensor optimization. Hardware/Software Co‑Design
-
in Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a related discipline. Familiarity with quantum computing and/or digital quantum simulation theory and practice. Familiarity
-
hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
-
approaches to optimize the trade-off between privacy and utility especially in the context of large models. Advance knowledge of key AI methods such as deep learning, algorithm design, probability theory
-
temperatures based on these predictions. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation Section (TACS) at the Center for Nanophase Materials Sciences (CNMS
-
with one or more prominent computational science software packages in the area of Lattice Gauge Theories (Chroma, CPS, MILC, QUDA, Grid, etc.) is highly desirable. Familiarity with C/C++ and accelerator
-
storage and analysis solutions (e.g., key-value stores, object or document storage, graph analytics systems) deployed on HPC computational and storage systems. Co-authorship of peer-reviewed publications