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aims to increase the safety, comfort and sustainability of transportation by means of automated driving. The group conducts problem-driven research within the interdisciplinary spectrum of machine
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-driven research within the interdisciplinary spectrum of machine perception, dynamics and control, and human factors. We are seeking a highly motivated researcher to contribute to the development of next
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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prototypes of a quantum computer and a quantum internet by integrating world-class research and groundbreaking innovation. Through excellence, relevance, and leadership, we cultivate a vibrant quantum
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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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In polymeric materials, a fundamental transition is required from synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover
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postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday athletes and coaches currently use tracking and feedback technologies, design and
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Trustworthy Graph Machine Learning for Population Scale Networks Job description We invite applications for a postdoctoral researcher to work on fundamental techniques for trustworthy graph machine
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17 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Biomedical engineering Engineering » Electrical engineering Researcher Profile