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. The successful candidate will have a PhD in Computer Science or equivalent with experience in cyber security or distributed systems. The School of Computing and Communications at Lancaster University offers a
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profoundly transform distributed computing systems by tightly integrating communication and computation capabilities. Next-generation wireless links will offer configurable communication parameters (throughput
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, distributed control, multi-agent reinforcement learning, or mission planning. • Familiarity with real-time robotic systems and hardware-in-the-loop testing. • Experience managing
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at the time of application; (b) strong research experience in one or more of the following areas: LLMs, AI agents / agentic AI, multi-agent systems, AI planning and reasoning, distributed systems, software
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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computation is necessary before taking an action. This PhD project will address these challenges by developing trustworthy and resource-adaptive VLA models. A central question is whether an embodied agent can
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with a high pulse power device. Another study intends to develop non-thermal electrons distribution which is of trendemous importance for UHI experiments. Durée du contrat (en mois) 2 ans + 2 x 1an
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learning models. Strong background in machine learning optimization, with experience in distributed or multi-node collaborative training; experience in large-scale training is highly desirable. Strong
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web and linking source populations to the underlying halo and galaxy distribution; developing SBI pipelines for Fermi-LAT data, first standalone and then jointly with LSS. Qualifications. A PhD in
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation