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opportunities to design and implement algorithms and decision-support tools that leverage real-time data, physics-based models, and AI/ML methods to enhance community resilience and situational awareness during
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progress in building a faculty and staff varied in background and thought; and maintain an environment that fosters interaction and understanding within our community. Candidates must have a PhD or
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progress in building a faculty and staff varied in background and thought; and maintain an environment that fosters interaction and understanding within our community. Candidates must have a PhD or
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Computation and Modeling, as well as MS and PhD degrees in Statistics. The department co-hosts an inter-institutional Biostatistics PhD program with MD Anderson, Texas Children's Hospital, and Baylor College
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teaching. Required education is a PhD (or PhD requirements fulfilled by starting date), in Mathematics or related field. The position will entail teaching undergraduate and graduate classes and performing
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background and thought; and maintain an environment that fosters interaction and understanding within our community. Candidates must have a PhD or equivalent degree in a biological science or a relevant field
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that fosters interaction and understanding within our community. Candidates must have a PhD or equivalent degree in a biological science or a relevant field of natural science or engineering (and have completed
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Computation and Modeling, as well as MS and PhD degrees in Statistics. The department co-hosts an inter-institutional Biostatistics PhD program with MD Anderson, Texas Children's Hospital, and Baylor College
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availability of funding and satisfactory performance. Eligibility: Candidates should be US citizens, nationals, or permanent residents, and they must have received a PhD in computational and applied mathematics
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. Required education is a PhD (or PhD requirements fulfilled by starting date), in Mathematics or related field. These positions are two to three year appointments and are open to promising research