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or social robots; trust and reliance on conversational agents designed to be charming and disarming; so-called "dark patterns" and manipulative tactics in the user interfaces of a range of technologies, from
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, maintenance, disposal and recycling is required. Based on over a century’s experience, design and operation of power transformers have been highly optimised, with peak energy efficiency reaching over 99
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/or increase in efficiency. Additive manufacturing (AM) could help increase the efficiency of the GTs by enabling complex designs. AM has been used for static GT components, however the use for high
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-in-the-loop representation learning algorithm design, asking users to decide what data pattern/structure should be preserved by an algorithm and injecting the preference into algorithm design. The
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development of co-designed methodologies involving key stakeholders such as law enforcement agencies (LEAs), civil society organisations (CSOs), and international bodies. The postholder will specifically
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materials). Characterization of 2D materials using Raman spectroscopy, AFM, and related techniques. Integration of such devices into low-temperature STM experiments. Collaboration with group members and
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, alongside other major global pathogens including hepatitis B and C viruses, HIV, SARS-CoV-2 and Dengue. The postholder will be responsible for designing and optimising sequencing approaches, leading data
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associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants
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that can be investigated to provide an accelerated path to a more sustainable future. Additional considerations will include potential changes in user transportation habits and the increasing role
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By