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. Ability to work effectively in a project team and take ownership of research objectives. Excellent command of the English language, both in written and oral communication. Thrives in an interdisciplinary
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energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
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international academic network. Supervisors: Prof. Louis Visscher (first supervisor) and Dr. Aylin Aydin-Çakır (co-supervisor) Where to apply Website https://www.academictransfer.com/en/jobs/357019/phd-position
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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of the North Sea maritime infrastructure through AI-enabled, human-centered, and data-driven cyber-physical threat intelligence. This large interdisciplinary project builds on insights from network
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of innovations developed by CCs are community energy collectives that stimulate local energy markets, or neighbourhood cooperatives that create local jobs and income. These innovations spark local transitions
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. communities of homes that have very low or net-zero greenhouse gas emission and are highly energy-efficient, have become a key component of the energy transition. The EmPowerEd project is a large national
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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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governance for climate and societal challenges. Job description This PhD position focuses on using agent-based modeling (ABM) to explore the lifecycle of community intiatives, as part of the ECCO project