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Field
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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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processing of materials, with specific interests including, but not limited to: Quantum Materials & Devices: Design, synthesis, and multiscale modeling of materials for quantum computing, light-driven
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Responsibilities • Perform groundbreaking research at the interface between machine learning and quantum science, astrophysics, physics of living systems, nonlinear science, soft matter physics or other related
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) with computational methods. The candidate will obtain single-molecule multiplexing data and validate machine learning predictions using the high-throughput data. The successful candidate will collaborate
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | 2 months ago
partners (www.malar-project.eu ). Your tasks # Providing support during user operation at the XES station (dedicated to high-energy-resolution X-ray Spectroscopy) and coordination with the assigned local
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economy. Thermal interfaces at cryogenic conditions: Many advanced technologies — like quantum computers, powerful microscopes, and chip-making tools — require extreme cooling. However, the optimal design
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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supercomputer to break the exascale barrier and Orion, a 700 petabytes Lustre parallel file system. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division also hosts
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space. UoB houses a significant high-performance computing facility, available to this project. The candidate will join the Tarzia Research group (tarziaresearchgroup.github.io ) and the Michalchuk group
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scheduling algorithms for fast control and reconfiguration of the optical AI compute clusters. Realize a small-scale compute cluster lab testbed to demonstrate and evaluate the performance of the innovative