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prototype (MIDAS) that integrates AI-based modules with optimisation engines to support low-carbon, cost-optimal datacentre microgrid design. To manage prototyping of the software platform - overseeing build
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to ensure that system and processes are operating in an optimal and compliant way. Meet the professional development needs of your stakeholders by ensuring that a programme of training and learning activities
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of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. · On site nursery is available
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seek optimal trade-offs between compactness and performance, delivering foundational insights into the future of high-performance electric propulsion systems. Funding 3-year PhD tuition fee (for UK home
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alloys), and additive manufacturing to push performance boundaries. The research will seek optimal trade-offs between compactness and performance, delivering foundational insights into the future of high
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are optimally configured to meet curriculum needs, enhance student experience, and support innovative research. This is an exciting opportunity to shape the future of high-performance computing within a forward
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that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s scientific and societal challenges. The selected candidate will contribute
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problem-solving skills and the ability to collaborate with cross-functional teams are essential. Responsibilities The main responsibilities of the role are as follows: Develop and optimize algorithms
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results from numerical and machine learning work to support the optimal deployment of the new sensors and their applications. Support field experiments with the new sensing technology in collaboration with
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to support the delivery and timely completion of an optimal TEF submission. As a member of the AcS senior team, the Head of Learning and Teaching Transformation will contribute to service-wide strategic