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dynamics, machine tool error compensation and modeling, CNC system design, and/or machining process optimization. Experience with CNC machine tools, machine controllers, G-code, CAM software, machining
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on problems of national significance. The successful candidate will possess advanced knowledge and a range of skills relevant to energy-water research. Examples may include: Analysis and modeling of water
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manufacturing platforms, and related mechanical subsystems. Create and revise mechanical CAD models, assemblies, drawings, bills of materials, and supporting design documentation for experimental manufacturing
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and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will assist in development and deployment of advanced data management platform
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of simulation software to model complex system flows in processes relevant to the nuclear nonproliferation mission space. You will be expected to be a heavy end user of the tools generated, participate in model
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Duties/Responsibilities: Support modeling facility power systems using SKM and conduct the necessary analysis which includes short circuit analysis, protective device coordination, equipment evaluation
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modeling, and complementary characterization. We are particularly interested in candidates with backgrounds in optical spectroscopy, scanning probe microscopy, semiconductor materials, or condensed matter
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. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will leverage large
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of Quantum Monte Carlo (QMCPACK, PYQMC) density functional theory (e.g. QE, VASP, PYSCF) and associated models to describe various properties of DOE-relevant quantum materials. The Materials Theory Group has a
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Requisition Id 16177 Overview: We are seeking an R&D Associate who will focus on urban-scale energy modeling. This position resides in the Grid Interactive Control Group in the Energy Systems