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rounds of screening for 84,000 women and will leverage new knowledge that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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, funds for Parents and Carers, and the potential to join community staff networks. About the role You will join a team of climate scientists and artificial intelligence experts to generate new projections
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(or equivalent experience) in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Strong Python programming skills • 0-2
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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, software engineering, and artificial intelligence, starting November 1, 2025 or as soon as possible thereafter. The position is part of the REINS project, which develops innovative methods and tools
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an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with
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Job related to staff position within a Research Infrastructure? No Offer Description Field: Mining Engineering, Industrial Engineering, Operations Research, Artificial Intelligence Duration: 12 months
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laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge on the human visual system
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immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with cell culture, cellular/molecular biology, and animal studies. The ideal candidate should be self-motivated