-
. Experience implementing, optimizing, or integrating quantum libraries such as Itensor, CUDA-Q, Qiskit, or PennyLane. Experience debugging and profiling distributed-memory parallel applications. Knowledge
-
Mathematics, or a related field, awarded within the last five years Programming experience in one or more of Python, C++, Fortran, or Julia Knowledge of high-performance and parallel computing Experience
-
of electron microscope operation and related techniques. Experience with data analysis and interpretation. Proven track record of publications in peer-reviewed scientific journals. Demonstrated experience
-
-of-the-art computational and experimental tools to investigate chemical and mechanical processes that contribute to the enhanced reactivity of minerals in sedimentary formations. Your role will be to lead the
-
processing, memory and cognitive control using techniques including fMRI, EEG, and psychophysiological recordings (EMG, EDA). Ongoing projects include studies of the prefrontal organization of cognitive
-
Will Do: Lead large-scale benchmarking of full-stack quantum processing units (QPUs). Develop and validate performance bounds for QPUs beyond brute-force classical simulability. Design and conduct
-
in building and testing quantum computer control systems. Assist in developing and testing PCB boards. What is Required: Ph.D. degree in physics, applied physics, electrical engineering, or a related
-
of application) Applicants must have completed all requirements for a PhD Degree in geography, urban planning, sociology, political science, economics, data science, public policy, computer/information
-
opportunity to work on computational research related to one (or more) of the following areas: coastal dynamics (surf-zone to shelf), submesoscale processes, kelp-current interactions, or marine carbon dioxide