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spectral efficiency, 6G networks must address the leakage of critical and confidential information at an affordable cost, complexity and power consumption. Traditional cryptography methods cannot, however
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spectral efficiency, 6G networks must address the leakage of critical and confidential information at an affordable cost, complexity and power consumption. Traditional cryptography methods cannot, however
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to understand and predict how technologies evolve — from artificial intelligence to net-zero innovations in energy, transport, and carbon capture. By building a global database on technological progress, we seek
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About the Role We are looking for a motivated and hard-working person to develop a very exciting project in the contest of the Barts Metabolism Network (QMUL) and the growing metabolism hub
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About the Role We are looking for a motivated and hard-working person to develop a very exciting project in the contest of the Barts Metabolism Network (QMUL) and the growing metabolism hub
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catalytic turbomachines—compact devices that combine chemical reaction and flow functions—using a novel machine-learning-based method, ChemZIP, to accelerate the modelling of complex catalytic and gas-phase
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Postdoctoral Research Associate in Non-Terrestrial Networks and Edge Computing ( Job Number: 25001481) Department of Engineering Grade 7: - £38,784 - £41,064 per annum Fixed Term - Full Time
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(7T fMRI, MR Spectroscopy), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: - Ensure that the impact of social context is central