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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys) School of Mechanical, Aerospace and Civil Engineering PhD Research
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
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machine learning model to rule out heart attacks in the emergency room, which has the potential to translate to large savings for healthcare systems in the world, (2) a computational modelling to assist in
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Requisition Id 15635 Overview: We are seeking a Research Scientist who will support a growing portfolio of research in cutting edge physics-based machine learning, geophysical modeling, spatial and
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of the Max Planck Society for the Advancement of Science. The Department of Machine Learning and Systems Biology, headed by director Prof. Dr. Karsten Borgwardt, is seeking a Postdoctoral Research Fellow (m/f
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Introduction to Machine Learning Staff TA - College of Engineering - Integrated Innovation Institute
the disciplines of engineering, design, and business, we can build impactful solutions that create value for real people. Carnegie Mellon University's Introduction to Machine Learning course is looking for a
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Internal Number: 6808723 Sr. Machine Learning Engineer About the Opportunity JOB SUMMARY The Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one
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Introduction to Machine Learning Staff TA - College of Engineering - Integrated Innovation Institute
the disciplines of engineering, design, and business, we can build impactful solutions that create value for real people. Carnegie Mellon University’s Introduction to Machine Learning course is looking for a
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About the project: Machine Learning to Unlock the Mysteries of Metallic Phase Transitions Supervisor: Dr Livia Pártay, University of Warwick Join a PhD project that goes beyond state-of-the-art to