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/benefits-overview . Posting Summary Two Interdisciplinary Fellowships at the Rutgers Center for Historical Analysis 2026-2027 The Rutgers School of Arts and Sciences and the Rutgers Center for Historical
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Associate will contribute to advanced statistical analysis, data visualization and developing public dashboards, writing public reports and research papers, responding to community data requests and planning
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carries out experiments including cell culture (various primary cells as well as immortalized cell lines), high resolution fluorescence imaging and image analysis, biochemical as well as molecular biology
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implementing a multi-level RCT in a health system environment, collecting qualitative data, participating in ongoing data analysis, and manuscript preparation under the supervision of the Lead Principal
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. Under the direction of the Principal Investigator, the Postdoctoral Associate(s) will be responsible for the performance and analysis of experiments focused on development and function of novel immune
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computational analysis of genome sequencing data in the Ellison laboratory. Position Status Full Time Posting Number 25FA1089 Posting Open Date 10/31/2025 Posting Close Date Qualifications Minimum Education and
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biological markers o Quantitative analysis of complex data Evidence of collaborative publications (in press or near-submission is acceptable) City: New Brunswick State: NJ Location: Douglass (RU-New Brunswick
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and Emily Barrett to advance research on endocrine-disrupting chemicals in relation to maternal and child health outcomes. The Post Doctoral Associate will lead data management and analysis for ongoing
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over-seeing undergraduate research projects. Standard laboratory work include recombinant DNA techniques, phenotypic analysis, epifluorescence microscopy, confocal microscopy, high throughput genomics
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competency in statistical analysis of clinical data Proficiency with Qualtrics Previous experience conducting diagnostic evaluations (e.g., SCID, MINI, C-SSRS). Certifications/Licenses Required Knowledge