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- $140,675.00 Time Type Full time Duration Type Staff Work Model Remote Background Check Requirements All candidates for employment will be subject to pre-employment background screening for this position, which
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Assistant to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine
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, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture
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analytical skills Strong interpersonal skills and ability to collaborate with technicians and faculty Knowledge of distance learning educational model required Able to gather, analyze, evaluate, and integrate
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L34 Compensation Grade Labor Grade E Compensation Grade Profile Hourly Range $35.64 Time Type Full time Duration Type Staff Work Model On-site Background Check Requirements All candidates for employment
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Research Associate to join a research team advancing the modelling, control, and real‑time validation of power‑electronics‑dominated power systems. This role supports the ARC Discovery Project “Making weak
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
projects are the analysis of gene expression patterns in malignant human tumor samples mostly coming from clinical trials and preclinical model systems, and on the continued development of genomic-based
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Postdoctoral Associate to join an interdisciplinary team using MEG and multimodal neuroimaging to advance biomarker discovery and mechanistic modeling in Alzheimer’s disease and related dementias (AD/ADRD
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& Validation Ensure data accuracy, consistency, and reliability across data models and reporting outputs. Implement data validation, testing scripts, and automated quality checks. Troubleshoot data discrepancies