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, and positioning ORNL as the national leader in geospatial HPC, data infrastructure, and emerging computing paradigms (edge compute, neuromorphic, quantum). In this capacity you will be responsible
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structure, property, and function in support of the user program and theme science. Selection will be based on qualifications, relevant experience, skills, and education. Functional Hybrid Nanomaterials
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computational models for quantum magnets and neutron scattering observables. Generate, document, and manage synthetic datasets (e.g. S(Q,ω), diffraction, thermodynamic data) for AI training and validation
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systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications
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Qualifications: Experience applying LLMs to scientific software and quantum program compilation/verification; familiarity with compiler toolchains (e.g., MLIR/QIR) is a plus. Experience in assurance of deep
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home to more than 7,500 staff, an outstanding ecosystem of world-class user facilities, and an unparalleled breadth of expertise spanning neutron science, high-performance computing, materials and
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Group, Theory & Computation Section, Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate (PSD) at ORNL. Major Duties/Responsibilities: Design, implement, and deploy advanced
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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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Requisition Id 15464 Overview: The Mathematics in Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data
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for massively parallel computers. Experience with quantum many-body methods. Preferred Qualifications: A strong computational science background. Familiarity with coupled-cluster method. Understanding