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or other continuous data sources. Experience with Bayesian statistics. Experience with censored datasets. Experience managing and analyzing large, multi-dimensional datasets. Experience with both spatial and
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intelligence, machine learning, big data and network analysis, computational and Bayesian methods, are encouraged to apply. Minimum Qualifications PhD in Statistics or closely related fields with documented
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. Supports a broad commitment to first-year student success. Serves students through large-scale programs and targeted retention initiatives, including communication efforts for case management of student
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the curriculum development committee. Conducts simulation experiences with trainees in the simulation lab. Partners with institutions to create recruitment pipelines. Develops targeted outreach materials
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, or August 16, 2026. Primary duties include leading an independent research program targeting top journals in the field of Operations Management, teaching Operations Management and Analytics courses
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. • Understanding and responding to the methodological differences in subject area research and developing strategies to best target the needs of users within these areas. • Collaborating with other units
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Maintenance Department. Creates and implements targets, objectives, and action plans. Evaluates the process and results to ensure goals/objectives/targets are achieved. Makes consistent and continuous
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together investigators from a variety disciplines who share an interest in developmental psychopathology. The primary goal of the Center is to facilitate translational clinical science, targeting key
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areas: Artificial Intelligence/Machine Learning for Drug Discovery: Designing and applying machine learning models to identify new drug targets, predicting drug efficacy and toxicity, and optimizing small
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to be a top-30 program in terms of impact in all aspects of its educational, research, and service operations by 2030. This effort translates into a number of goals and targets including being one