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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
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gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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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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administration and organisation. We are looking for a/an Senior Scientist in Experimental Quantum Machine Learning 51 Faculty of Physics Job vacancy starting: 01.02.2026 | Working hours: 40,00 | Classification
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Title: Instructional Technologist - Learning Systems Administrator Position Type: Staff Full-Time Days Per Week: Monday - Friday Hours Per Week: 40 VP Area: Finance and Administration Department
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Project Title: Intrinsically-aligned machine learning In a truly cross-disciplinary effort, this project, funded by the Leverhulme Trust and in collaboration with the University of Manchester, will leverage
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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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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern