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testing, propensity score methods, meta-analysis, Bayesian inference, and a wide range of regression models (linear, logistic, Poisson, negative binomial, lognormal, Cox, mixed-effects, GEE, penalized
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, please click here . Duties & Responsibilities Design and conduct experiments involving the role of nitric oxide synthase in triple negative breast cancer model cell system 4T1. Experiments will include
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management systems Canva, Adobe Express, Adobe Photoshop, or Adobe Illustrator Google Analytics and Google Ads Meta Business Manager Basic HTML and CSS knowledge Familiarity with reporting, testing, and
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. Working primarily on evidence synthesis projects, such as systematic reviews, meta-analyses, scoping reviews, and state-of-the-art reviews, the librarian will contribute through consultations, educational
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applications in scientific discovery, biomedical computing, computational medicine, and data-driven modeling. A major goal of this strategic expansion is to foster interdisciplinary partnerships across
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responsibility. As an employee of Marketing and Communications, this position is eligible for a flexible work model that combines remote and in-office work schedules. Benefits and Community Ball State University
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responsibility. As an employee of Marketing and Communications, this position is eligible for a flexible work model that combines remote and in-office work schedules. Benefits and Community Ball State University
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State University of New York University at Albany | Albany, New York | United States | about 8 hours ago
agenda through the following activities: Design and conduct program evaluations, including: Logic model development, evaluation plan development, and evaluation framework selection for multi-site and multi
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State University of New York University at Albany | Albany, New York | United States | about 8 hours ago
: Design and conduct program evaluations, including: Logic model development, evaluation plan development, and evaluation framework selection for multi-site and multi-year projects. Provide responsible
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Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques, prior distributions and posterior predictive checks, model comparison