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areas. Cranfield is part of the national testbed for 6G, researching in the following areas of interest: Real-time specification of 6G telecommunication and edge computing services using Large Language
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visual and auditory cortical areas, providing a phenomenological test of the spatial accuracy of TUS stimulation. The successful applicant will be part of a large, vibrant, highly collaborative community
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will delve into topological and geometric properties of eigenfunctions when their eigenvalues are not large. The University of Reading is in the top 125 in the world for Physical Sciences (Times Higher
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learning models of quantum chemistry can achieve fast and accurate predictions, but comprehensive data sets for reaction barriers of large molecules simply do not exist. Several recent works have attempted
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culturally diverse care home population. We anticipate seconding an NHS employed dietitian or nurse who is currently working in the care home setting. We are currently running a large trial to investigate
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connectivity seen in large scale brain recordings. These describe correlations between brain regions and can evolve over tens of seconds, with essentially discontinuous shifts from one short term state
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near boiling point. Your work will lay the foundation for future hydrogen fuel systems in medium-to-large aircraft, advancing both science and sustainability. Candidate Profile We welcome applicants with
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Psychology Biological Sciences Anatomy, Physiology & Pathology Sports Science Project description The offshore wind industry has expanded rapidly and as a large influx of offshore workers is expected to meet
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algorithms, have excelled in tasks like computer vision, image recognition and large language models (LLM). However, their reliance on extensive computational resources results in excessively high energy
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advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow