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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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. Research groups This project will be conducted within Tim Coopmans’ research group at QuTech, the quantum research institute of Delft University of Technology. The group focuses on the design of quantum
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characteristics (conversion efficiencies, ramping limitations, and start-up/shut-down dynamics) • the formulation of flexibility management strategies based on Stackelberg leader–follower games and equilibrium
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conflicting, gender narratives across social media, television, and video games. The project will combine innovative quantitative (e.g., longitudinal research, daily diary research, and data donation with
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breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 16 000 students and 5 200 employees
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, they are difficult to scale, maintain, and align with regulatory DPP requirements or evolving product configurations. Research objectives The objective of this PhD project is to design DPP data
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of socio-technical innovation bundles (STIBs) addressing bottlenecks, develop experiential learning games to address drivers of implementation, strengthen governance and support innovation bundles
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers