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Field
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vision transformer or large vision AI model Expertise in high performance computing Expertise in image and spatiotemporal data processing Expertise in federated learning on large computing clusters A
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on addressing fundamental and technical challenges in measurement-based quantum computing using continuous-variable cluster states with a three-dimensional entanglement structure. The successful candidate will
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) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
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of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning
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6 Nov 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Mathematics Researcher Profile Recognised Researcher (R2) Established
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. Our research focuses on the established CRC/TRR 227 Ultrafast Spin Dynamics, the new CRC 1772 Heterostructures of Molecules & 2D Materials, and the new Cluster of Excellence for Chiral Electronics. We
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) the Shadow survey, a new DECam effort to ‘shadow’ LSST in select nearby galaxy cluster fields; 2) the sub-day cadence supernova search, DLT40, focused on the nearest and brightest transients in the sky; 3
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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field (e.g. Ecology and Environmental Sciences) at time of hire. Experience with management of big data sets (e.g., USFS Forest Inventory and Analysis, remotely sensed data, such as LiDAR), analyses in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed