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related field Demonstrated experience in interdisciplinary research and excellent digital literacy Strong interest in historical data, machine learning, data visualization, or digital hermeneutics Strong
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algorithm controversy game. Design Studies, 91, 101245. Hicks, B., Kitto, K., Payne, L., & Buckingham Shum, S. (2022). Thinking with causal models: A visual formalism for collaboratively crafting assumptions
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spatial analysis. Establishes new research protocols and procedures, including in computational tasks where data visualization, preprocessing, or interpretation can be improved. Devises and deploys custom
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analysis and Excel Experience with data analysis programming (visual studio/visual basic) Excellent written and oral communication skills Demonstrated ability to function well in a fast-paced research
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, including in computational tasks where data visualization, preprocessing, or interpretation can be improved. Devises and deploys custom machine learning approaches where applicable. Provides feedback and
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, L., & Buckingham Shum, S. (2022). Thinking with causal models: A visual formalism for collaboratively crafting assumptions. In LAK22: 12th international learning analytics and knowledge conference (pp
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, gene therapy, drug delivery, etc. Prior experience in these areas is preferred. The Huo lab is particularly interested in using the visual system to address post-genomic era challenges (e.g., translate
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colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection, tissue characterization, and visual guidance of robotic intervention. This is a full time
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. Commitment to good data management is a highly desirable skill for this job. Experience with data visualization and preparation of scientific manuscripts are desirable skills. Desired start and end dates
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and validates the performance of molecular sensing circuits Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from data