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Posting Details Position Details Title Postdoctoral Appointee (Cybersecurity Research) (Faculty) Appointment Status Non-Tenure Track Department IU Bloomington Wrkshp-Pol Theory/Pol Analysis Location
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the identification of biomarkers indicating risk for severe fibrosis in patients, impeding development of mitigation strategies and targeted therapies to combat fibrotic damage. You will extend the preliminary work
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic
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about Healthy Sexuality (PATHS) study is a randomized controlled trial (RCT) of a parent-focused HIV prevention intervention designed to reduce HIV risk and improve sexual health outcomes among sexual
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
quality and health risk assessments. The candidates will work on a range of tasks including: a) Perform literature review to assess current state-of-the-art in reduced form modeling approaches and assess
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
grid model applications to assess individual source sector contributions, and b) develop quantitative estimates for air quality and health risk assessments. The candidates will work on a range of tasks
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
for aircraft sources, b) develop chemical mechanism schemes for dispersion models, c) apply dispersion model approaches for air quality and health risk assessments. The candidates will work on a range of tasks
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI