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interconnected computing nodes, actuators and sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity
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for experimental work, conference travel, or the latest computing gear, we’ll make sure you have the resources to succeed. Work with the Best: Team up with industry giants to work on real-world projects that make a
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materials as an addressing these challenges. A large experimental research programme is now attempting to explore these materials further and develop them for use in devices. To underpin this research we need
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Programme application process In collaboration with the relevant Trusts and CTT, ensure rooms students are allocated to all placement and teaching events: determining student groupings; checking and
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, Galois, Defence Science and Technology (DST) and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. The post will be based in Sheffield working at Sheffield’s School of Computer
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and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
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Computational imaging: seeing beyond the capabilities of conventional optics
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the application of cementation to the immobilisation of radioactive wastes, to reduce the hazard posed by the potential release of radioisotopes to the biosphere. Design and implement an experimental programme to
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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or upper second class honours degree or significant research experience. Candidates must have a first or upper second class honors degree or significant research experience. A background in computer