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of Biostatistics and Bioinformatics is seeking a highly motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing computational models of the immune response
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Associate in Research The role involves developing and optimizing machine learning models to predict infectious diseases using multimodal health data. Responsibilities include analyzing correlations between
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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, diversification and risk, arbitrage and hedging, asset allocation, asset pricing models (including the capital asset pricing model (CAPM), factor models, and consumption-based asset pricing), active portfolio
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operating models that can extend to additional technology domains in the future. The ACIO is accountable for enterprise data architecture and the institutional data platform(s) (e.g., University data
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biology, and mechanisms of drug resistance. Research activities will utilize a combination of in vitro approaches, including cultured cell models, and in vivo experimental systems using animal models
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contribute to basic and clinical research in the lab. This is a full-time position, eligible for all Duke benefits (https://hr.duke.edu/benefits) with an initial appointment term of one year with
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physics-integrated machine learning models—to predict, analyze, engineer, and understand microbial community dynamics. Applications span precision medicine and built environment microbiomes, with a strong
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advance DUMAC’s quantitative processes, develop and refine analytical models, and guide investment research that informs long‑term strategic decisions. Your work will directly support the financial
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical