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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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Generate and edit tables and other data visualizations (e.g., graphs, charts) Other administrative duties as needed Required Qualifications Minimum of a Master's Degree Minimum of 1+ years of experience
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programs (Word, Excel, PowerPoint, etc.) for report writing, data graphing, recordkeeping, website update, and inventory control is required. Ability to quickly learn new techniques and instrumentations
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. Other administrative duties as needed. Support Extension programming: (30%) Prepare documents, reports, graphs, spreadsheets and presentations for leadership team as needed. Confer with and/or counsel
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. Designs visuals/tables/graphs for visualizing complex business processes to support decision making. Supports the development of strategic plans and reports. Supports the documentation and tracking of key
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investigations; and Assists in identification of criminal trends. Reports and Presentations Prepares digital charts, graphs, tables, maps and other visual aids for case support and intelligence briefings; and
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are expected to: ? Assist with setting up biochemical experiments, finishing those experiments, graphing and analysis of data, and data interpretation. These tasks include but are not limited to: o
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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statistical analyses, scientific reports, research summaries, figures, graphs, presentations, and manuscripts for publication and grant applications. Supervise and perform quality control procedures and
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records of experiments, results, and methodology; calculate, graph, compile, and summarize experimental data for review by the research team, as needed. Develop technical expertise in areas relevant