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, public management, urban planning, innovation studies, or related fields. Strong interest in and affinity for: o addressing societal challenges in the built environment o the management and governance
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governments. As the majority of the symmetric primitives, they are designed to naturally operate over bits, in order to maximize their performances in Software and Hardware implementations. At the current state
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Description Do you want to creatively design polymers and coatings for cutting-edge energy applications? Are you motivated by the challenge of advancing emission-free transport? Do you thrive in a
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lead to better and fairer outcomes—challenges such as cognitive overload, uncalibrated (dis)trust in AI, and unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project
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in Maastricht and Radboud University, you will conduct innovative research at the crossroads of psychology, neuroscience, and computational science. PhD Candidate: Cognitive Computational Neuroscience
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We’re looking for a motivated PhD student with a
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We are looking for three motivated and curious PhD students to join our ERC Advanced Grant project FLOW . This project investigates the functional roles of brain oscillations for human cognition
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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evaluation it will be extended for a total duration of 4 years). The preferred starting date is 1 November 2025. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes
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with your supervisors, but you can work independently, investigating GaN design and pushing the state-of-the-art. Where to apply Website https://www.academictransfer.com/en/jobs/354326/phd-positions-3x