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Description 30%: Develop public health analysis tools to assess impacts of drinking water sources and groundwater quality on public health outcomes. 35%: Use modeling tools and data analysis to conduct research
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sufficient specialist knowledge of the discipline to work within established research programmes and show evidence of understanding, expression and application of concepts and methods. Strong data analysis
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from mice and grow in culture. Conduct analysis of samples to measure specific mouse cell function in vitro and in vivo. (35%) Work with animal models of disease, this will include genotyping by PCR
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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a highly motivated Postdoctoral Fellow to join our research team focused on the structural and functional analysis of oncogenic noncoding RNAs. We utilize a multidisciplinary approach that integrates
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. The postdoctoral fellow will work with a team of investigators from institutions across the Northeast on a NIH-funded project on phenotyping obesity using behavioral, psychological, familial, and genetic data
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the work undertaken with the project and submit them for publication Advise the PI on the integration of statistical analysis into the manuscript(s) Documentation (10%) Generate reproducible documentation
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develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other researchers at Princeton and other institutions
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of Medicine). This interdisciplinary collaboration provides an opportunity to work across departments/schools and contribute to advancing the early detection of Alzheimer's disease through innovative
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silico work, including sequence design, data analysis, experimental planning, and writing publications. The postdoc will work closely with the PI and a PhD student. An ideal candidate must hold, or be