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engineering, Intelligent Manufacturing Systems, Personalised Health Technology, Resilience Engineering, and Sustainable Production, Energy and Resources. We work on education and research in mechanical
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& Maintenance engineering, Intelligent Manufacturing Systems, Personalised Health Technology, Resilience Engineering, and Sustainable Production, Energy and Resources. We work on education and research in
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computing systems with unprecedented energy efficiency and performance. This PhD position offers the opportunity to collaborate with internationally renowned researchers, publish in leading conferences
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technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world. Our mission We help to strengthen society
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Intelligence, Computer Science, Human-Computer Interaction, or a related technical field. Strong programming experience in Python and proficiency in deep learning frameworks (e.g., PyTorch). Interest in research
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themes: Improving healthcare by personalized technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a
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themes: Improving healthcare by personalized technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a
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our five profiling themes: Improving healthcare by personalized technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and
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computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a postdoc at NIOZ in a collaboration with
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thermodynamics. The Theoretical physics position will focus on gravitational and holographic systems out of equilibrium, with possible topics including dynamical and cosmological horizons, gravitational entropy