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on the following activities related to Bayesian inference in factorial designs: Construction and elicitation of informed prior distributions; Critical assessment of default prior distributions; Organizing a many
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. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track record
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consortium. You will: develop and validate a sensitive and objective online measure of misophonic severity based on sound-evoked pupil dilation, obtained via webcam; advance misophonic characterization by
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to answer biological questions, in close collaboration with domain experts. You will work on the following research objectives: Develop methodology for the inference of causal relationships based
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. This informal layer is highly diverse, stems from many underlying causes and factors, and highlights a notable knowledge gap. The specific objectives of the BEAT project are two-fold: (1) to co-create a