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we invite you to apply for this PhD position on Curiosity in the Classroom at Radboud University. Curiosity is a powerful driver of learning, yet we still know relatively little about how curiosity
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PhD Studentship: Robust, Certified, and Scalable Federated Machine Unlearning for Privacy-Preserving AI About the Project As federated learning systems become increasingly embedded in high‑stakes
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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Supervise and mentor research associates, engineers, and PhD students working on the project Collaborate with perception, controls, systems, and hardware teams to guide integration of learned policies
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learning, or human-computer interaction would be advantageous. How to apply We are seeking expressions of interest from qualified domestic candidates who wish to apply for this PhD opportunity. This position
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welcomed. The project sits at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development. Tasks of the PhD Student - Develop and
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This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection, risk stratification and prognostic prediction of colorectal cancer, with a focus on
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the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2026-598 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD research
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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organizes social activities, networking and upskilling events, and an annual PhD Symposium. Curious to know more? Learn all about what it means to start a PhD at VIB in our PhD Guidebook , written