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Scheduled Hours 40 Position Summary Performs data management and/or data analysis for investigators using statistical packages. Assists investigators in the design of experiments, clinical trial
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. Design and implement baseline studies and ecological assessments. Conduct data analysis and maintain the scientific integrity of all research outputs Lead scientific reporting, including technical reports
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on sustainability, digital inclusion, and data-driven policy development. Work duties Conduct literature reviews on travel behavior analysis. Assist with expert interview, data collection and data
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Socio-Natural Hazards and Risks. STRENGTH is a multidisciplinary platform, involving colleagues from physical geography, spatial data science, environmental economics and environmental psychology
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areas: GIS software; spatial analysis and visualization; programming in R, Python, or similar; epidemiology; etiology; data communication; systems evaluation; quantitative data collection and analysis
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and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing
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cutting-edge technologies. The Pritykin lab (http://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a
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community assets using multiple data sources and spatial tools. The role emphasizes project leadership, transdisciplinary research across environmental, social, and political sciences, and interaction with
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Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R
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candidate will be encouraged to independently explore large-scale omics datasets (e.g., bulk and single-cell RNA-seq, spatial transcriptomics, proteomics) to identify and prioritize novel biomarker