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for designing and predicting quantum materials/systems/devices; error correction and fault-tolerant architectures; novel quantum algorithms for near-term and fault-tolerant quantum computing; quantum advantage
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broader community. We take pride in delivering exceptional service, sharing our expertise, and upholding the highest standards to ensure a world-class campus experience. Please visit us at: https
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more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards Must be authorized to work in the United States on an ongoing, full-time
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rework, waste, and delays. This project tackles that challenge by developing camera-based process monitoring system that observes the weld in real time, detects and predicts anomalies as they emerge, and
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workflows that integrate modern AI and machine learning concepts (e.g., surrogate models, adaptive sampling strategies) into the drug discovery pipeline to increase throughput and predictive accuracy
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trends and composition analysis, refractive index determination, and morphology for applications such as environmental monitoring, nuclear non-proliferation, and improving predictive modeling tools (e.g
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, triage, knowledge base documentation, and escalation practices-ensuring work is prioritized, transparent, and delivery is efficient and predictable. Position Description Provide day-to-day Tier 1 support
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methods to understand and predict the adsorption, self-assembly, and protective behavior of N-heterocyclic carbenes (NHCs) on metallic and oxidized surfaces. NHCs are promising corrosion-inhibiting
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
microstructure evolution during extrusion is critical for controlling final mechanical properties and surface appearance of extruded profiles, yet quantitative predictions remain challenging due to the complexity
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the changing climate. The appointee will work in the research team supervised by the Associate Director of Research, on projects that include the prediction of flooding in coastal areas, wave runup and coastal