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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home...
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for data-efficient vision foundation models. Foundation models in computer vision currently rely on massive datasets and brute-force scaling. This leads to high data requirements, hidden biases, limited
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of Mechanics of Materials (MoM) (www.tue.nl/mechmat) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e) launched a PhD excellence programme for sustainable materials in 2026
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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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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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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