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screening (Ulrike Haug), prevention and implementation science (Hajo Zeeb, Daniela Fuhr), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot
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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
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Associate We are seeking a postdoctoral fellow to lead data integration and quantitative analyses for a project examining connections between human and environmental health around Lake Victoria, Kenya
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Transactions on Probabilistic Machine Learning. A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, L Kennedy, J Gabry, PC Bürkner, M Modrák (2020). Bayesian Workflow. B Carpenter, A Gelman, MD
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Post Doc Associate We are seeking a postdoctoral fellow to lead data integration and quantitative analyses for a project examining connections between human and environmental health around Lake
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Post Doc Associate The Responsive Apparel Design (RAD) Lab at Cornell University is seeking a highly motivated and talented postdoctoral researcher to join a collaborative The Responsive Apparel
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Associate The Responsive Apparel Design (RAD) Lab at Cornell University is seeking a highly motivated and talented postdoctoral researcher to join a collaborative As part of Cornell University, a world-class
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learning. The project involves a collaborative team, including a postdoctoral researcher and a PhD student, with specific objectives: Define and acquire a comprehensive database of high-quality video priors
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, United States of America [map ] Subject Area: Computational harmonic analysis and machine learning Appl Deadline: none (posted 2024/10/14) Position Description: Apply Today is the last day you can apply for this position
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to incoming students. Graduate programs notify Graduate and Postdoctoral Studies which students have been chosen to receive a Four Year Fellowship by submitting a signed University Award Recommendation Form