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our team, as well as a willingness to learn new methods and techniques as the projects evolve. This is a one-year full-time appointment with the potential for extension contingent upon successful
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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 apply: Application
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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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research, teaching, and leadership 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
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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