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packages, solve SLAM, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories
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the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish
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, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is
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, and technical staff) and more than 270 non-permanent members (PhD students, postdocs, and visiting researchers). ICube stands out for its unique position at the interface between the physical and
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and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With
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, profile, and tune first principles materials applications for high performance Adapt, develop, and publish applications and algorithms that scale to OLCF computers Apply and improve advanced computational
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; Develop novel algorithms for adapting and specialising visual foundation models; Publish research findings at leading machine learning and computer vision venues such as CVPR, ICCV, ECCV, NeurIPS, and ICLR
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around 250 of these in full-time positions. In addition, there are more than 100 postdocs and more than 400 PhD students. As a postdoc, you will be affiliated with the Department of Clinical Medicine, but
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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applications for postdoctoral positions, to be hosted by one of the faculty members listed below. Candidates must hold a PhD in mathematics, or expect to be awarded one by the end of the calendar year of