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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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genomics. In particular, you will focus on delivery methods for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation