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: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and
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as soon as possible but must be available to start by 1 April 2026 at the latest. This project aims to develop superconducting microwave interconnects and metasurfaces for distributed quantum networks
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should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. About our
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, data-limited, and dynamically evolving environments. Applications include complex engineered systems such as intelligent communication networks, distributed computing platforms, and quantum-enhanced
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cloud or distributed computing environments. Familiarity with self-supervised and contrastive learning techniques for aligning text and images (e.g., CLIP, SimCLR). Clinical experience, e.g., interaction
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We are seeking a creative and motivated neuroscientist to investigate how distributed brain circuits support flexible learning and decision-making. The postholder will join the Adaptive Decisions
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the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with cloud or distributed computing environments
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hardware components, notably integrating communication, sensing and computing, are essential to ensure efficient spectrum utilization and reduce hardware costs in 6G networks. Besides connectivity and
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hardware components, notably integrating communication, sensing and computing, are essential to ensure efficient spectrum utilization and reduce hardware costs in 6G networks. Besides connectivity and
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Associate post. Funded by UKRI EPSRC, the project “CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research” aims to empower distributed cloud computing applications