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. Specific responsibilities include, but are not limited to, the following: Develop the core tensor network algorithm for full RIXS cross-section simulations. Benchmark simulation results against ED codes
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information at BNL | Benefits Program The Co-Design Center for Quantum Advantage (C2QA) at BNL coordinates a team of leading experts from national laboratories, academic institutions, and industry partners
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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and Applications (CCMA). Successful candidates will engage in research in all or any of the areas of scientific computing, data science, and quantum information science. Appointed candidates will
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AI/ML, with a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex
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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting
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an excellent work ethic and background in molecular simulation and machine learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in
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Requisition Id 15684 Overview: We are seeking a Postdoctoral Research Associate to help advance our understanding of quantum magnetic materials through materials synthesis and characterization
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algorithms for the next generation of particle physics experiments and also explores other ways AI can accelerate scientific discovery. The group collaborates closely with computer scientists, astrophysicists
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Position Summary The Quantum Monte Carlo group in the Physics Department at WashU in St. Louis invites applications for one postdoctoral position beginning August 2026. We are interested in