5 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Connecticut
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interpretable machine-learning models, including approaches for uncertainty quantification, model calibration, and transferability. The Postdoc will also contribute to the development of reproducible
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Resources website and explore the sections under the Benefits & Leaves and Engagement & Learning headers at the top of the page. Under Benefits & Leaves, select Benefits to access an overview as
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with in vivo electrophysiology and/or calcium imaging data collection and analysis. Experience with machine learning–based behavioral quantification (e.g., DeepLabCut, MoSeq). Experience with MATLAB
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of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant neuroscience community, and there
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. The successful candidate will engage in innovative research addressing statistical methodology, machine learning, and/or learning techniques in complex biomedical and health-related challenges. We particularly