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Field
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data analysis, visualization, and quantitative assessment of model outputs. Strong communication and writing skills, with an interest in collaborative, interdisciplinary research. Preferred Skills
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, prognosis, and subphenotyping. Contributing to study design, choice of analytical methods, and methodological development. Visual presentation of analyses and results, as well as writing scientific
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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on Just and Equitable Cities (https://centerforcities.aap.cornell.edu/initiatives/overview ). We invite applications from candidates who will have completed their Ph.D. degree no earlier than September 1
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would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement
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maintaining high-quality code on Github Ability to visualize experimental results Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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arenas with precise stimulus control and behavioral monitoring Virtual Reality Integration: Implement visual virtual reality presentation systems for controlled sensory stimulation Optogenetic
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emulators, or agent-based modeling. Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems. Experience with visualization tools (e.g., dashboards, GIS, spatio
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and are also involved in planetary missions and climate modeling. These research projects produce large data sets and require computational analysis and visualization. Your skills will make a difference