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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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. This simple unit is limiting the learning capabilities of recurrent neural network models in tasks characterized by multi-timescale and long-range temporal dependencies. To implement multi-scale adaptation, in
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. The goal is to develop a language-agnostic verification approach, following on promising results related to the Solidity language. - While our current digital infrastructure relies on classical networks
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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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Administration in Rotterdam goes far beyond the public realm to also pay attention to public-private cooperation and the networks of organizations. Sociology investigates the social structures of societies and the
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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Are you passionate about studying collaboration among organizations active in supply chain networks? Do you have a passion for applying cutting-edge quantitative methods and a desire to collaborate
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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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4-year project; regular conditions for a Dutch PhD apply. The position is part of the network Chair Governance of Complex Urban Transformation that is positioned at the intersection of the Institute