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, predictive assembly of complex microbial communities, and programming of self-organized pattern formation in engineered bacteria. Duke is an Equal Opportunity Employer committed to providing employment
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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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data with public protein databases such as UniProt, PDB, Ensembl, BioPlex, DepMap, and others. Responsibilities : Develop and maintain a centralized proteomics data portal; design and perform
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-time academic or research career. The individual will work primarily on the Duke Predictive Model of Adolescent Mental Health (Duke-PMA) study, a multi-site NIH-funded project that leverages artificial
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ecosystem structure and function, 2) develop a predictive understanding of when and where species interactions are important, and 3) integrate our novel theoretical and system-specific findings