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and research expertise in adolescent or young adult health, chronic illness, or survivorship care. Strong background in qualitative or mixed methods research. Experience with database development and
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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candidate will also develop and implement computational methods to interpret complex data and contribute to the preparation of grant proposals, progress reports, and peer-reviewed publications. In
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learning, or related quantitative methods preferred but not required. Be Bold. Position Description: Engage in substantially full-time research or scholarship under the guidance of a faculty mentor, focusing
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animal species, generating standardized data that works effectively across diverse languages and cultural contexts while eliminating traditional barriers of recall bias. These methods are being deployed in
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Responsibilities will include developing next-generation genome engineering technologies for gene and cell therapy applications as well as functional genomics. In particular, you will focus on delivery methods