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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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to validate the tools against practical design requirements. The successful Machine Learning Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
We welcome applications from candidates with a broad range of academic backgrounds and experiences for a 4-year PhD project on Mathematical and Machine Learning Aspects in Crystallography at Durham
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to validate the tools against practical design requirements. The successful Machine Learning Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
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FAccT and AIES), as well as policy fora. Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning or a closely related
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therefore work in a highly interdisciplinary environment spanning machine learning, speech and audio processing, computer vision, respiratory physiology and clinical medicine. You should have a PhD, or
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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the reliability of proposed protective measures. The emphasis can be adapted to the student's background, including machine learning, electrical interfaces, mechanical module design or control
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machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to [email protected] For more information about working at