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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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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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for defense, aerospace, and critical infrastructure. Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security. Experimental
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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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Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Modern Economy Program
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Robot Control from Expert Demonstrations and Self-Experience”. Learning-based predictive decision-making for autonomous systems under uncertainty: This PhD project is focusing on advancing proactive
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California State University, Long Beach | Long Beach, California | United States | about 16 hours ago
and safety prediction, automation and robotics in construction processes, computer vision in the AEC industry, emerging technologies, predictive analytics, prefabrication and modular construction
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governance framework, including internal controls, fiscal policies, delegations, and cost recovery methodologies. Design and oversee the College’s budget structures and cost‑recovery approaches, ensuring
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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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rapidly-updated archives of key weather observations; develop procedures for quality controlling these data archives; develop procedures for blending and interpolating in situ observations with remotely