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Field
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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: Certified unlearning with formal guarantees — developing methods with provable erasure bounds, connecting to differential privacy and statistical divergence frameworks Robustness to adversarial relearning
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From electric vehicles to grid-scale energy storage, the future of clean energy relies on breakthroughs in battery technology. This PhD will develop cutting-edge terahertz spectroscopy methods
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Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal
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Multilingualism research group. The ACLC also has an active PhD community that meets formally and informally. Questions? For questions about the position or department, you can contact dr. Josje Verhagen
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. However, translating sustainability ambitions into measurable operational improvements remains a major challenge.This PhD project aims to help organizations bridge that gap. By combining Business Process
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the scientific results and translate promising concepts into practical measurement solutions for project partners. PhD 2: Traceable efficiency measurement using electrical and thermal methods For a
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supervision across institutions and takes part in three residential schools, methods workshops, monthly research seminars and joint work with organisations beyond academia. Every project includes a planned six
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are recruiting two PhD candidates for an interdisciplinary project on child language brokering - how
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researchers eager to contribute to this emerging scientific frontier. About the project The role of the PhD candidate will be to develop efficient methods for Hybrid Learning-Control Methods for Autonomous