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Field
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properties, and scalable manufacturing, automation accelerates the development of novel nanomedicines, bridging the gap from academic research to clinical applications. Nanomedicine, a field that integrates
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Are you eager to contribute to shaping the future of additive manufacturing with clay? Are you interested in how 3D clay printing and computational design can be used to develop environmentally
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-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science. In this PhD project, you will: Develop an experimental platform to study 3D self
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of the project if you perform well. Wageningen University & Research offers plenty of opportunities for growth and development, with a strong internal recruitment policy and excellent training programmes. You will
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Are you passionate about the future of circular manufacturing and intelligent quality control? Join us to develop AI-powered frameworks that improve real-time decision-making in additive
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
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, in collaboration with the NanoElectronics (NE) group at the University of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart
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reducing demand. However, demand drivers are manifold, including technology advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies
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, surveys, scenario analyses, and foresight research to develop decision-support tools for AI adoption; A 4-year fully funded position, plus benefits, training, and career development opportunities
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the quantum world. At the same time, we prepare our students for careers both within and outside the scientific field. Currently, more than 1,300 colleagues contribute to research and education, some as