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directly test and tune on real data the carried out developments. Part of the thesis work will be carried out at University of Chicago, which is deeply involved in the project since the very beginning. The
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Description The position is part of a collaborative project funded by the CNRS and the University of Chicago, awarded to Sharon Peperkamp (Paris) and Alan Yu (Chicago). The PhD student will be based at Ecole
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, at University of Chicago. Ashley is a part of the 'Physics and Mechanics of Biological Systems' team, comprised of three permanent CNRS researchers, all with a background in physics and biophysics. The team is
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testing of novel soft robotic structural systems which meet the key requirements of sustainable design and manufacturing. The PhD student will work closely with other postdoctoral and doctoral researchers
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; Maynooth University, National University of Ireland Maynooth | Maynooth, Leinster | Ireland | 14 days ago
a wide range of eminent industrial and academic collaborators. The PhD position: The successful candidate will be part of a project team consisting of 4 PhD students, a postdoctoral researcher and a
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researcher will also closely work together with the other doctoral and postdoctoral colleagues that work on composite hydrogen tanks, to form a strong and complementary team for this highly challenging
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supported by ophthalmologists in the UBC Faculty of Medicine. The awards are made on the recommendation of the Faculty of Graduate and Postdoctoral Studies, in consultation with the Centre for Accessibility
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manufacturing. The PhD student will work closely with other postdoctoral and doctoral researchers within the Creative Design Engineering Lab (Cdel) at Newcastle University. The successful applicant will be based
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UCA), Armelle Nugier (MC UCA), Sandrine Redersdorff (MC UCA), as well as a postdoctoral fellow who will start his or her contract in October 2024. The Laboratoire de Psychologie Sociale et Cognitive
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over 40 PhD students, postdoctoral researchers and faculty members working on a broad variety of deep learning, computer vision, and foundation model subjects, like self-supervised learning, diffusion