23 web-programmer-developer-"https:" "https:" "https:" "https:" "ESS Escola Superior de Saúde" PhD positions at The University of Manchester
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interact without full trust in a centralized party. This research project aims to develop cryptographic solutions and frameworks that secure AI systems, particularly in decentralized and distributed settings
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2026. We recommend that you apply early as the advert may be removed before the deadline. This PhD project will develop generative hybrid models that integrate AI foundation models with physical
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environments aiming to accelerate equipment and apparel development, enhance athlete performance, and ensure more effective use of testing facilities. The project will be undertaken in close collaboration with
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, this will enable a design-led approach to develop catalytic processes for dimetallocenes, such as alkyne hydroamination. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a
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to increase each year. The start date is October 2026. As the aviation and power generation sectors move towards decarbonisation, gas turbine manufacturers are developing hydrogen-fuelled engines. However
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This project aims to perform laser spectroscopy studies on proton-rich nuclei, in order to investigate the evolution of nuclear structure of these exotic species. At the edges of the nuclear
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project. Laser beam sources, process development and control to enable better control of mass transfer and laser-matter interactions. The “design-manufacture-inspect-model-test” approach of this project
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to develop and analyse implementable, fully discrete methods for function approximation, density estimation, and/or time-dependent PDEs or SDEs in high dimensions, with links to UQ and theoretical
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recently constructed electrostatic ConeTrap and use it, for the first time, to facilitate high efficiency, high precision laser spectroscopy. The developed spectroscopy will then enable precision
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generation and evolution under controlled variations in bathymetry and bed roughness, and will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real