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Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research would be on the development of novel methods to solve game theoretic models in natural
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would be on the development of novel methods to solve game theoretic models in natural hazard loss insurance modeling and in the optimization of municipal land use decision-making for risk management. To
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skills. Candidates must possess excellent communication and interpersonal skills to work effectively in our team, as well as a willingness to learn new methods and techniques as the projects evolve
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is meant to produce use-inspired basic and applied research with a strong AI component, driven by real-world education applications. Faculty mentors will engage with their postdoc mentee, providing
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University to pursue further training in research, teaching, and communication skills. Previous experience with standard laboratory methods is not necessary. Candidates must possess excellent communication and
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University to pursue further training in research, teaching, and communication skills. Previous experience with standard laboratory methods is not necessary. Candidates must possess excellent communication and
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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.). Excellent quantitative, technical, analytic, and applied research skills are required. Excellent written and
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods