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databases to assess ecosystem response to environmental forcing. The primary research focus is AI-forward, experiment-driven. This position encourages leveraging AI/ML methods to assess plant physiological
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, optical spectroscopy, and scanning probe microscopy. Advance capabilities for specialized scanning probe microscopy methods Work as part of a dynamic team conducting research that advances and develops
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workflows. Preferred Qualifications: Hands-on experience with machine tool metrology and performance evaluation methods such as ball-bar testing, laser interferometry, volumetric accuracy assessment, spindle
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and lignocellulosic biomass into domestic fuels and chemicals. Research activities may include creating transformation methods, constructing gene‑expression “genetic parts,” and developing CRISPR‑Cas
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phenomenological and/or computational methods for quantum/classical dynamics in complex systems. Preferred Qualifications: Rich experience with modeling in spin or atomic dynamics will be highly advantageous Basic
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, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization
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, Integrity, Teamwork, Safety, and Service Preferred Qualifications: Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM) Experience improving performance and
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interconnection topologies that simplify the use of diverse distributed storage resources through advanced methods for distributed data placement, layout, tiering, and movement. Major Duties and Responsibilities
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in multiscale and multifidelity simulation techniques (ab initio methods at different fidelity, machine learning tight-binding, machine learning force fields, phase-field modeling, and/or kinetic monte
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
and 2D memristive materials). As a Postdoctoral Research Associate, you will contribute to research in these areas, bridging state-of-the-art atomistic and mesoscopic simulation methods as indicated