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work packages, you will quantify how resistance spreads in time and space, trace the origins of human infections, and model source transitions to identify key points for intervention. The project will
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is focussed on understanding the human tumour microenvironment (TME) and its role in cancer progression, immune evasion, and therapeutic resistance. We place a strong emphasis on the use of advanced
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(LiB’s). You will be responsible for: • Developing models and simulations of the electrode fabrication process, sensors, and actuators. • Developing a demonstrator of a soft sensing system that
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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relevant skills acquired and will also be determined by the funding available. About you You will hold, or be close to completing, a PhD/DPhil in Biochemistry, Chemistry, or a closely related discipline
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concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being powerful general purpose intelligent systems
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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on a broad range of measurement problems in biology. The research requires expertise in single molecule fluorescence experiments: specifically in building or modifying experimental set-ups for optical
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We are delighted to offer a 28-month position for a Postdoctoral researcher to join the hyperpolarised Xenon-129 and Carbon-13 (13C) groups at the Oxford Centre for Clinical Magnetic Resonance
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently