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Field
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You work at the Wenckebach Institute for Education and Training (WIOO) of the UMCG, within the Lifelong Learning, Education and Assessment Research Network (LEARN). The UMCG is the largest employer
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of buildings. This presents many opportunities, but also requires careful planning and operation to deal with emerging challenges such as network congestion. Recently, positive energy districts (PEDs), i.e
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, offering the PhD researcher a unique opportunity to engage with leading scholars and build a strong international academic network. Supervisors: Prof. Louis Visscher (first supervisor) and Dr. Aylin Aydin
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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) and the team level (Governance
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About the project and group This position is funded within the context of the “Future Network Services: 6G” project. A unique Dutch alliance, comprising 60 leading ICT businesses, mobile operators
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battery for thermal storage. The idea is to combine waxes obtained through pyrolysis of plastic waste streams, with ultra-conductive graphene networks, i.e., nanometer sized carbon platelets that transport
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and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In
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efficient, adaptive use of multistable networks, offering an alternative to energy-intensive digital systems with rigid bits and separated memory and computation. In this project, we aim to design and realize
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Positive tipping points 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
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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