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qualifications include: Interest and knowledge about the creative industries, including tareas such as e.g., media, gaming, music, arts, and design. Strong qualitative research skills, including training in
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-fidelity game design. Research findings would be disseminated to both academic and industry audiences, building both theoretical advances and real-world impact. Supervisory Team: The candidate will be
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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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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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Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing, and supported by the Multiannual Funding of R&D Units of the FCT (UID/5210/2025) Where to apply Website https
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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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, 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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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