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, maritime and rail. You will be part of the Centre for Assuring Autonomy (CfAA) that pioneered approaches to assuring AI and autonomous systems. This role offers the opportunity to both accelerate
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will be part of the Centre for Assuring Autonomy (CfAA) that pioneered approaches to assuring AI and Autonomous Systems (AI/AS). This role offers the opportunity to both accelerate the adoption
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targeting identified skills gaps and needs to accelerate blue innovation in the maritime sector. Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of training courses
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natural particle accelerators on Earth, capable of accelerating particles to relativistic energies and producing gamma-rays on different time scales, from sub-millisecond to tens of seconds and more
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(ii) develop early warning signals for disease conditions including psychiatric disorders using differential equations (30%). Responsibilities* Accelerated progress on funded research aims through
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dynamic electrochemical response. This position offers an exciting opportunity to contribute to the development of next-generation modelling tools that will accelerate the design and optimisation of sodium
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which overall purpose is to accelerate transformative advances in lymphatic medicine. The successful applicant will be based at City St George’s University London (Tooting Campus) working in
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, including neural networks hardware accelerator systems. • Design, model, and simulate memristor cells and circuits tailored for AI acceleration. • Collaborate on the fabrication and experimental
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which overall purpose is to accelerate transformative advances in lymphatic medicine. The successful applicant will be based at City St George’s University London (Tooting Campus) working in
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the bridge between cutting-edge innovation and real-world customers, we translate technical complexity into clear, human-centred narratives that spark curiosity, accelerate understanding, and inspire