Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
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
-
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
-
, 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
-
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
-
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
-
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
-
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
-
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
-
degree in lieu of two years of experience). Or, an equivalent combination of relevant education and/or experience. Exposure to simulation modeling or virtual clinical trial frameworks. Familiarity with