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prone to bias. This project aims to produce more robust causal evidence by leveraging nationwide registry data and applying advanced analytical methods. The work will be grounded in a target trial
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lead the project’s computational work package and develop the pipeline that operationalizes the theory and supports perceptual studies. This includes: contributing to method development on rhythm
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their gesturing or vocalization is manipulated. Tasks will include contributing to project theory and methods development on multimodal communication in song performance; using experimental methods that involve
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lead the project’s computational work package and develop the pipeline that operationalizes the theory and supports perceptual studies. This includes: contributing to method development on rhythm
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forecasting. Familiarity with ensemble methods, Bayesian approaches, and uncertainty estimation. Experience with large-scale or messy real-world data (structured and/or unstructured). Interest in or experience
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physically adjust to achieve their performance goals when their gesturing or vocalization is manipulated. Tasks will include contributing to project theory and methods development on multimodal communication