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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD candidate who is eager to contribute to a
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later skill acquisition. This research is located at the intersection of cognitive neuroscience and developmental psychology. We are looking for a PhD candidate to join the BabyBRAIN lab . In
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Faculty of Science The Faculty of Science (FNWI), part of Radboud University, engages in groundbreaking research and excellent education. In doing so, we push the boundaries of scientific knowledge and pass that knowledge on to the next generation. We seek solutions to major societal challenges,...
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you can make a significant impact on Tilburg University and future
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Vacancies PhD Position in Algorithmic Energy Trading Key takeaways In recent years, the energy sector has undergone changes that have a high impact on the dynamics in power markets. One
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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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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stakeholders. This multidisciplinary PhD project aims to generate the necessary knowledge and tools to equip local decisionmakers to better deal with conflicting values in parallel transitions and requires
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community of gifted researchers, professionals or patient partners who are dedicated to making a real impact on population health and healthcare. Read what it is like to do a PhD at the Radboud University
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unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases