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organize large datasets from diverse environmental sources. Advanced Analytics: Perform statistical modeling and data visualization using Python, R, and SQL. Meta-Analysis: Synthesize findings across
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: Department of Biology (Professor Jon Sakata) Position Summary: Assists in the collection of bioacoustic and behavioral data. Assists with the analysis and visualization of data. Assists with integrating new
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external) is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that
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NIMH-funded longitudinal functional MRI (fMRI) study of threat perception in children. Other current lab projects include analysis of extant fMRI datasets related to visual perception, as well as fMRI
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Tiny Machine Learning (TinyML). The role will focus on the design and development of battery‑less, ultra‑low‑power IoT systems capable of executing secure TinyML‑based visual perception algorithms
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on new and available data sets. Assists in data acquisition and experiment setup. Develops data visualization tools to display meaningful features. Decodes neurophysiology of cognition using Neuropixel and
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Summary Support faculty-led research and scholarly dissemination activities in aviation safety through the development of research figures, educational visuals, presentation materials, and other
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primary focus on Computer Vision, pattern recognition, and visual generative modeling. Multiple positions are available. CVI2 offers the opportunity to contribute to a diverse portfolio of projects
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focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including collaborations with industrial
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Lore Thaler. The successful candidate will assist with the delivery of training to teach echolocation and echolocation instruction to visual impairment habilitation workers and to people with vision