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foundation models and world models enable robots that understand instructions, interpret scenes and generate behaviours. However, most systems require huge datasets, extensive teleoperation, expensive compute
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The Graduate School of Medical Sciences (GSMS) is developing a new blended onboarding programme to help international PhD candidates prepare for their doctoral journey, integrate into the university
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ecosystem behind our computational imaging research. The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) and the Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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of Warwick, and Prof Emma Kendrick at the University of Birmingham. The project will be affiliated with the Faraday Institution FAST project and will combine advanced computational modelling with experimental
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their mechanical microenvironment. As a PhD candidate, you will develop novel computational tools to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework
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an interdisciplinary program that brings together Warwick Medical School and partners from the School of Engineering and Industry, combining machine learning and computational modelling to solve a
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related to multiparty computation in quantum networks. The stipend is open for appointment from 1st November 2026 or soon hereafter. The duration of the position is three years. Your work tasks The
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
at the University of Münster invites applications for two fully funded PhD positions in computational modelling of biological and functional material. The two projects address complementary questions in biological
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3 years, full-time, English-taught, remote (flexible) About the programme The PhD in Economic Policy & Public Administration is a three-year, full-time, English-taught doctoral programme based
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Engineering, visit rug.nl/fse . The successful candidate will join the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence within the Faculty of Science and Engineering at