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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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developing state-of-the-art methods in network analysis, connectomics, and computational neuroscience. You will collaborate within a motivated, multidisciplinary team of PhD students and postdocs with
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PhD candidates, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through
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on the development of new antenna and integrated circuit concepts for radar and electromagnetic modelling. The Electromagnetics (EM) and Integrated Circuit (IC) groups are involved as well as the Center for Wireless
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close collaboration with the Netherlands Defence Academy. The CTE group is a dynamic team of researchers, including PhD candidates, postdocs, and faculty members. Our group focuses on understanding and
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on permanent plot networks and a fire experiment. Both PhD projects will assess the impact of fire intensity and fire frequency on the resistance and recovery of tropical trees and forests, and will
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, these qualities are indispensable for a fulfilling PhD journey. These experiences will build you as an independent researcher, expand your professional network, and pave the way for diverse career pave the way
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sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits
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urban design, environmental stressors (e.g. heat, air pollution, pollen), and social factors (e.g. safety, norms, networks) influence active lifestyles; develop and test physical activity and destination
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be