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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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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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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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, UK How to Apply Candidates should submit their application through a formal application via the Newcastle University application system. Please outline in your application how you meet the eligibility
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Job related to staff position within a Research Infrastructure? No Offer Description Techniques based on formal methods for the verification and validation of embedded and safety-critical systems
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machine learning methods for advanced and in situ materials characterisation. Modern characterisation techniques generate increasingly complex datasets describing microstructure, crystallography, phase
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regulatory learning and foresight at TUM, methods and analytics at BI, and academic writing and impact at the University of St. Gallen. You will also take part in methods workshops, monthly paper development
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summer schools, covering regulatory learning and foresight at TUM, methods and analytics at BI, and academic writing and impact at the University of St. Gallen. You will also take part in methods workshops
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Management (BPM) with emerging technologies such as the Internet of Things (IoT) and real-time analytics, the research will develop new methods and technologies that make sustainability measurable, manageable