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your modelling expertise. Basic understanding of the physics and techno-economics of (renewable) energy technologies, storage systems, and transmission networks. Proficiency in statistical and
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advantage if you can provide a link to a code repository of a project where you are the main contributor.- Experience in implementing machine learning methodologies, specifically neural network-based methods
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to strengthen your research expertise and expand your network. Additionally, you will have the opportunity to contribute to teaching and supervise AI-related thesis projects at both Bachelor’s and Master’s levels
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why your future colleagues enjoy working at WUR. We will recruit for the vacancy ourselves and do not appreciate unasked for services from recruitment agencies. However, sharing in your network is
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. The University of Groningen is an international centre of knowledge: It belongs to the best research universities in Europe and is allied with prestigious partner universities and networks worldwide. The Faculty
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challenges for our power networks, as seen in the significant network congestion issues emerging in many regions of the Netherlands. In recent years, hydrogen has emerged as a significant energy vector, with
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with researchers from the fields of spatial planning, energy modelling, social network analysis, economy and law, you will develop tools for appropriate governance models for the local energy transition, working
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-quality teaching and research. Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly
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want to build hydrogels that interact with their environment and self-optimise to particular tasks? Do you enjoy exploring systems chemistry, reaction networks and self-assembly in out-of-equilibrium
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why your future colleagues enjoy working at WUR. We will recruit for the vacancy ourselves, so no employment agencies please. However, sharing in your network is appreciated.