171 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oxford
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fundamental research, we create widely used open-source software including autodE, cgbind/C3, and mlp-train. Our recent advances in Machine Learning Interatomic Potentials (MLIPs) form the foundation of our ERC
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for carrying out research on the European Research Council Project METACOMP on “Meta-Complexity: A Unified Approach to the Complexity of Proofs and Computation”, with Rahul Santhanam as Principal Investigator
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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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or computer vision with a video focus, and ideally have prior experience of working with echocardiography or fetal echocardiography or related experience on real-world video analysis Informal enquiries may be
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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be determined by the funding available. About you You will hold or be near completion of a PhD/DPhil in Computational Biology, Bioinformatics, Genomics, or a closely related field, with significant
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opportunity to teach. Applicants should possess or be close to obtaining a PhD in physics, materials science, or physical chemistry. They should be highly experienced in advanced first principles computational
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research programme on theoretical and practical aspects for reliable learning procedures for human-centred AI. The post holder provides guidance to junior members of the research group including project
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or statistical machine learning and have the ability to manage own academic research and associated activities. You will also have a commitment to demonstrating respect, courtesy and consideration within
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machine learning approaches to enable integrative analysis and biomarker discovery. About You You must hold, or be close to completion of, a PhD/DPhil in a discipline of direct relevant to computational