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Intelligence for Transportation ( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep
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advanced deep learning and machine learning algorithms Assist with organizing large-scale multimodal neuroimaging datasets, brain imaging quality control, and processing Assist with grant applications
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advanced deep learning and machine learning algorithms Assist with organizing large-scale multimodal neuroimaging datasets, brain imaging quality control, and processing Assist with grant applications
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with researchers with varying academic backgrounds. Those with experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 27 days ago
project include (but are not limited to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
Research Triangle, the United States, and even the world. Position Summary The postdoctoral researcher will conduct advanced research in artificial intelligence (AI) and machine learning, with a focus
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- Epigenomics, Machine Learning & 3D Genome Biology Employer NYU Langone Health, Skok Lab Location New York City, New York (US) Salary Postdoc: $70,000+ annually, plus benefits; Senior Computational Biologist
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Position Details Position Information Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science Department Quantitative Biomedicine Inst Salary
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large language model (LLM) and retrieval-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data
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electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in