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outside the lab that account for sex variations. In collaboration with societal, industry, and health partners—including NOC*NSF, Vitronic, ModelHealth, and the Sport & Gyn network—these next-generation
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(e.g. safety, norms, networks) influence active lifestyles; develop and test physical activity and destination choice models, integrating data from sources such as sensors, surveys, Google Street View
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Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
in the innovation and diffusion of clean energy technologies can greatly accelerate progress towards a net-zero energy system. Yet, their emergence and timing remain difficult to anticipate and manage
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analyzing partnerships. You will get the chance to attend courses at the Erasmus Graduate School for Social Sciences and the Humanities. You are embedded in lively PhD Networks both at the faculty level (ESSB
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management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as
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Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance
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researcher at the NIOO-KNAW. We expect you to develop funding proposals and build a network of collaborators both within academia and with stakeholders with whom you will co-develop projects to expand
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of mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient. However
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on classical networks, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those employed in classical networks, necessitating novel verification