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| Computer Science and Engineering We are seeking a postdoctoral researcher to work on problems at the intersection of algebraic coding theory, matroid theory, and pseudorandomness/derandomization. The focus
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QUALIFICATIONS AND EDUCATION (List all desired skills/qualifications) Knowledge of evolutionary theory and use of genomic data to infer epidemic patterns Experience using next-generation sequencing to study within
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. Candidates must have expertise in quantitative methodologies (e.g., structural equation modeling, multilevel regression, survey development validation, item-response theory, etc.) and child development
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, with expertise in the fields of optimization, machine learning, nonlinear and computational methods, applied mathematics, experimental methodologies for optimization algorithms. Desired: Self-motivated
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to the validation or modification of scientific theory or methodology relating to the topic area; result in important scientific knowledge; and are definitive of a specific topic area other duties as assigned
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computational methods, applied mathematics, experimental methodologies for optimization algorithms. Desired: Self-motivated and able to work in a team with minimal supervision. Strong written communication skills
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. Knowledge and/or experience conducting item-response theory analyses. Experience creating teacher surveys and analyzing survey data. Research agenda that focuses on professional learning and/or teacher
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the relationship between creativity, intelligence and automation. We welcome projects that compel new understandings of techno-human interdependencies and histories; automation and the politics of labor; theories