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, applied mathematics, computational science, biophysics, biomedical engineering, or a closely related field. Strong background in nonlinear continuum mechanics, tensor algebra, and finite element modeling
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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information science, broadly defined. Experience in topological materials/ topological quantum computation/ quantum geometry/ exposure to tensor network methods or and/or AI/LLM for physics would be a positive addition
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simulation and computation, phase transitions and nonequilibrium dynamics in strongly-correlated and open quantum many-body systems, as well as advanced numerical simulation techniques with a focus on tensor
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languages (for example, for hardware design or parallel programming) Array or tensor programming Applications to physical sciences, dimensional analysis, or climate impact modeling It is highly meritorious
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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
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reinforcement learning and/or tensor networks are preferred. Other responsibilities include communicating results in journal publications and conferences as well as mentoring junior members of the group
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on the DOE-funded Early Career project "Rigorous quantum simulation tools for correlated attosecond electron dynamics in molecules." The position will involve developing new methods related to tensor
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Knowledge, Skills, and Abilities: *Numerical expertise in tensor networks and matrix product states OR analytical field-theoretic expertise. *Familiarity with topological phases of matter and their
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. *Numerical expertise with classical simulations of quantum circuits, including tensor-network based approaches. Application Instructions: Candidates are required to submit a Resume or CV and a Research