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committed to investigating, understanding, and supporting the collaborative learning and innovation practices of interorganizational learning communities on the circularity and energy transitions. In this NWO
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to staff position within a Research Infrastructure? No Offer Description The main goals of this PhD project are: Develop novel sparse training algorithms that improve the scalability and energy
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during winter and efficiently using the high solar energy gains received during the summer period. In collaboration with industry partners and the Technical University of Darmstadt, we push forward
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dynamics between wind and waves, assessing their influence on the efficiency of offshore wind farms. This is a chance to advance knowledge in renewable energy and make a significant contribution to improving
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centers, the adoption of heat reuse has the potential to enhance organizational energy efficiency, reduce global energy consumption, and optimize services. In this context, our collaborative team aims
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technologies and methods for the design and operation of future manufacturing. In line with the Industry 5.0 paradigm, aspects like sustainability in manufacturing (e.g. circular manufacturing systems, energy
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upscaling of the BAK. For achieving this, new types of artificial membranes would be developed, cell cultures protocols on these membranes would be optimised and uremic solutes removal from blood, by the new
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dynamics between wind and waves, assessing their influence on the efficiency of offshore wind farms. This is a chance to advance knowledge in renewable energy and make a significant contribution to improving
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, disability, LGBTQ+ identities, family and caring responsibilities, age, or religion. We encourage everyone who shares these values to apply. Your challenge The global initiative to complete the energy
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, disability, LGBTQ+ identities, family and caring responsibilities, age, or religion. We encourage everyone who shares these values to apply. Your challenge The use of solar energy is essential for the energy