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mind? Would you like to use your expertise to make a direct contribution to one of the major societal challenges of our time: the energy transition? Then we are looking for you! What are you going to do
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learning and data science professional who wants to make a real-world impact? Do you have a specialisation in machine learning and affinity with project management? Do you want to apply advanced AI solutions
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decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch energy
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optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability, and overall system cost. This PhD project focuses on the electronic integrated circuit
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staff position within a Research Infrastructure? No Offer Description Challenge: Design building renovations under future uncertainty. Change: Develop uncertainty-aware life-cycle methods to optimise
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circuits. Building on preliminary results for resistive circuits, you will study circuits containing memristive and capacitive elements, as well as more general dissipative networks. The project combines
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to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs/364137/phd-position
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and space. Design, build and implement an integrated regional and farm system MRV meta-model for several pilot regions across Europe Model evaluation of mitigation measures to ‘consolidate and improve
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this PhD project, you will design, build and validate a new generation of wideband current sensors that can reveal switching behaviour and losses that are difficult to observe with today’s instrumentation
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transition. See: https://www.tudelft.nl/en/2026/tbm/tpm-researchers-receive-nwo-kic-consumer-behaviour-for-a-circular-system-transition-grant . The project includes 2 PhD positions, 2 Postdoc positions, and