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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Posting Information Posting Details Department Globl Hlth and Infect Disease - 427801 Posting Open Date 08/17/2026 Application Deadline 09/17/2026 Open Until Filled No Position Type Postdoctoral
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, machine learning, and data science. The successful candidate will work with Dr. Yohanna Mejia Cruz on the development of sensing and computational frameworks to characterize human mobility and behavior
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also provide shared office space, and a laptop computer. Further information can be found at https://piirs.princeton.edu/funding-fellowships/piirs-postdoctoral-fellows . This position is subject to the
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- Postdoctoral Research Associate, 306-YY_FACULTY - Postdoctoral Research Associate Business Title: Postdoctoral Research Associate Employee Type: Faculty (+) (Fixed Term) Position Term: 12 Month Position Details
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
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and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other tasks that are assigned to you. Core Responsibilities: Understanding
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/2026 Position Qualification Position Summary Developing and/or applying artificial intelligence, machine learning and/or data science-based methods to address cutting-edge topics, including but not
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boson decays, searches for supersymmetry and other new phenomena, and measurements of rare standard model processes. We vigorously pursue the use of machine learning techniques for data analysis
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, predictive modeling, machine learning, and causal inference methods. Experience with claims-based or EHR-based phenotyping, variable construction, treatment pattern analyses, healthcare utilization studies