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the changemakers and peacebuilders of today and tomorrow. Kroc is the first stand-alone school of peace in the United States. Innovation in learning and programs is at the center of what we do and who we are. We
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the world’s largest supercomputers (Polaris, Aurora) and some of the most advanced characterization tools in the world at Argonne and Sandia National Labs. Candidates with a background in deep learning
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; Machine Learning• Clinical pathways and decision support for patients with acute chest pain• AutoPiX – Explainable Deep Learning for Multimodal and Longitudinal Imaging Biomarkers in Arthritis• Speaking
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willing to learn from other people in the lab and collaborate. Candidates should have a master’s degree in Molecular biology, Biochemistry, or similar field and have deep interest in molecular biology and
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) The postdoc will contribute to lab duties, which is evenly distributed among all lab members. Lab: https://www.helabucb.org/ Qualifications Basic qualifications (required at time of application) PhD
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– Resolution of appeals 16.01.2026 – 4:00 PM – Final results Additional comments We are seeking a PhD student in Machine and Deep Learning for Satellite Image Processing to join our team, who will be
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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Description of the workplace The Saragovi Lab is part of the Division of Applied Biochemistry at the Department of Chemistry. Our group focuses on developing and implementing deep learning
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, applied mathematics, neuroscience, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Machine Learning (DM3L) Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for satellite-based tracking of global CO2 and NOX emissions of point sources 80