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will be reviewed in late December/early January, but applications will be accepted until the position is filled. The recipient's activities will be conducted in parallel with those of the Simons
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environment for NERSC's 11,000+ users. The SSG is responsible for NERSC's storage portfolio, including large scale high capacity parallel file systems and archival storage systems with an eye towards balancing
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to basis set size. We are working on methods that will allow us to solve the time-dependent Schrödinger equation more quickly. In this project you will develop new (parallel) methods based around accelerated
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for the leadership and management of the EPSRC programme grant: Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations (REMODEL). The REMODEL project
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), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of
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for an additional 3 years. In parallel, the applicant will be expected to actively seek independent funding and will be fully assisted in applying for personal fellowships, such as FWO PhD fellowships. Access
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optimizing and parallelizing workflows to run on compute clusters. This position is ideal for someone who is looking to gain research experience, enhance their technical skills, or is considering graduate
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Theoretical Physics or a related discipline completed within the last 5 years. Experience with High Performance Computing and programming for massively parallel computers. Experience with quantum many-body
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Technologies. Over the past decade, our group has successfully used a steerable tweezer platform as an optical collider to investigate cold collisions between ultracold atomic clouds. In parallel, we have built
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training and inference of GMMs for large, high-dimensional datasets Explore parallelization strategies to leverage modern GPU architectures Benchmark GPU-based implementations against CPU-based approaches