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analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws
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exploratory analysis to support research, predictive modeling, and departmental analytics needs. Contribute to machine‑learning prototype development, including running model experiments, evaluating performance
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related matters. This includes the preparation and posting of various journals, ledgers, and accounts, analysis of financial data, financial statements, and expenditure reports, and presentation
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analysis, manuscript preparation, and mentoring of junior lab members. This is a 1-year appointment, renewable based on the need for the position, availability of funding, and continued satisfactory level of
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enhancing our academic programs and driving student success. This position offers a unique blend of strategic planning, data analysis, systems-building, and collaborative leadership. The College of Arts
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-scale 2D video datasets, enabling reliable inference across diverse recording conditions, camera configurations, and experimental paradigms. Evaluate model performance across datasets and conditions, and
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communication and professionalism. Achieve and maintain reliability on CDC methods, participating in training as required. Enter both narrative and quantitative data obtained from multiple sources into a complex
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load-flow analysis with (multi-)objective optimization algorithms for EV charging and discharging. – Investigate challenges related to optimality, robustness, and reproducibility of the proposed methods
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problem solving is frequently required, along with in-depth analysis of unique issues/problems without precedent and/or structure. Manager works with internal departments and external workgroups
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-of-the- art, infrastructure, regulatory requirements, experience in experimental safety analysis for neutron activation and chemistry experiments. Must currently possess or be able to obtain a senior reactor