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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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neurodevelopment and neurodegeneration of the visual system. Our team applies interdisciplinary approaches, combining multi-omics, genetics, molecular biology, evolutionary biology, viral tools, advanced
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Education and Experience Preferred experiences include research in cognitive neuroscience, human functional brain imaging, psychology, neurology, psychiatry, machine learning, data visualization, and data
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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visualization tools to present results (e.g., using Shiny in R, or Tableau). Development of Research Deliverables and Publications (25%) – Prepare high-quality research deliverables, including project briefs
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
understanding of heat, salt, and momentum fluxes and physical processes at ice-ocean interfaces, with relevance to submarine glacier melting and other ice-ocean interactions. The position will emphasize both
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activities related to cloning and/or synthesis of nucleic acid nanotechnology Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from
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on visual and perception and decision-making in complex environments, with a focus on medical image perception and Artificial Intelligence (AI). This position offers hands-on experience with behavioral, eye
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applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to describe and quantify the spatial characteristics and cellular interactions associated with colorectal response