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Field
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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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investigate how different forms of regulation, from legislation to standards and soft law, influence delearning. You will examine the conditions and procedures for reviewing, amending and repealing rules
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, receives 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
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vehicles or robotic systems. Additional training in machine learning methods is an advantage. Solid programming skills. Strong skills in mathematics, excellent capacity for mathematical formalism, and
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16th October 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate in Hybrid Learning-Control Methods for Autonomous Underwater
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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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In medical equipment, many different gas flows need to be controlled
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the use of AI in different organizational practices and settings and may focus on employees, managers, teams, or other relevant organizational actors. Projects may examine inclusion in relation
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capable of integrating quantum key distribution methods and embedding post-quantum cryptographic techniques within the framework. Develop a synchronisation mechanism to combine multiple, differently-paced
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start date. Vacancies may open at different times. About the research Technological change creates uncertainty about what should be regulated, which interventions are proportionate and how their effects