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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate (Ebright Lab) Department Waksman Inst of Microbiology Salary Details 63968.00 Offer Information The final
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of Public and International Affairs. The research position requires a PhD in a relevant field (e.g., geography, urban planning, data science, sociology, public health, emergency management). Ideal
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& Information Technology (CSIT). The Centre comprises approximately 50 people working on networks, security and systems research. CSIT is a large, research-focused school, participating in many major national and
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of science to applied technological research and partnership with industry. Your Tasks, Core Themes Candidates will have the opportunity to pursue one or more of the following core themes: 1. Large Pre-Trained
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Posting Information Posting Details Department Earth Marine Environmt Sci - 318000 Posting Open Date 08/11/2025 Application Deadline 09/01/2025 Open Until Filled No Position Type Postdoctoral
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software development, and has leading roles in the ATLAS High Luminosity Large-Hadron Collider (HL-LHC) upgrade (Silicon Strip detector, Liquid Argon calorimeter, and Trigger & Data Acquisition). The group
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large animal models (pigs). Works with collaborators to develop preliminary data and analyze animal model outcomes. Develops tissue culture assays to support research goals and isolation of primary cells
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, or translational breast cancer research. The successful candidate will lead research efforts using rich molecular and epidemiologic data from the Carolina Breast Cancer Study (CBCS), a large, diverse population
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are not designed to produce reliable regional estimates of those phenomena. Therefore, small area estimation (SAE) methods are used. With technological advances, Big Data now offers valuable spatial
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targets. You will take a lead on development of computational approaches to integrate multi-omics data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and