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persist across participants, and retraining from scratch is often computationally infeasible at scale. In this project, you will develop the next generation of federated machine unlearning algorithms
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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both to develop algorithms for future fault-tolerant devices and to conduct tests on real quantum hardware. Across the project, the student will identify the main bottlenecks in speed, accuracy, and
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-world environments. To achieve this, we will integrate multiple radar units into autonomous vehicle platforms and evaluate perception algorithms in diverse scenarios. The successful candidate will work
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multiple radar units into autonomous vehicle platforms and evaluate perception algorithms in diverse scenarios. The successful candidate will work closely with our industrial partners and will analyse
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. The role spans the entire research pipeline – from processing spatio-spectral-temporal UAV imagery to model development, algorithm validation and deployment, including contributions to a QGIS forest
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datasets Working with bulk and single-cell RNA-seq, ATAC-seq, ChIP-seq, methylome and proteomic data. Developing computational approaches and algorithms to answer complex biological questions. Identifying
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ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can
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Paul Goldberg and will work on the EPSRC-funded project “Driving Behaviour in Multi-winner Voting” within the Algorithms and Complexity Theory research theme. The position is for the two-month period of
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you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems. Want to help build, maintain and secure some of the largest