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cost savings in aerospace manufacturing. We aim to develop a life cycle-informed design approach that enables rapid assessment of the cost and environmental impacts of recyclable and recycled materials
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should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated research experience in the mathematical foundations of AI, as well as substantial programming
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that can be designed and optimised for both passive and active photonic components, allowing for the full suite of device functionality to be incorporated via simple and low-cost processes on a single
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Do you have a PhD in HCI, Computer Science, or Related? Are you Interested in innovating interactive technologies to help #MakeNormalBetter for all? You’re an excellent and committed researcher
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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. This role will contribute to the project by: Refining the flow battery design for manufacture and installation in Nepal Developing the control system/BMS for integration with a wider energy management system
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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cognition and emotion processing. We invite applications from individuals with a background in human experimental psychology (participant recruitment, experimental testing, data analysis) and with a PhD in
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techniques to form the world's lowest loss integrated ring resonators. This role will focus on the fabrication and material characterisation of the waveguides, but will also involve waveguide design, optical
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pathways. You will also contribute to a future i4i application and help prepare dissemination materials for NHS and industry audiences. About you You will hold a PhD* or equivalent professional qualification