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Multi-Modal AI and End-to-End Image Analysis for Oncological Imaging in Lung Cancer School of Medicine and Population Health PhD Research Project Directly Funded UK Students Dr B Tahir, Dr Laura
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Honours degree in Physics, Engineering, Computer Science or related discipline (or equivalent) Essential Application PhD in medical image processing/analysis (or equivalent) Essential Application Experience
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central London in the School of Biomedical Engineering and Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the planned work
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laboratory by identifying any requirements for computer-aided design equipment and equipment for rapid prototyping Identify suppliers for all the consumables and components required to prototype RF coils Setup
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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silicon-based photovoltaics, led by Prof. John Murphy (https://www.birmingham.ac.uk/staff/profiles/eese/murphy-john ) and Dr Sophie Pain (https://www.birmingham.ac.uk/staff/profiles/mechanical/pain-sophie
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, expensive, and complex equipment, limiting their widespread use. This PhD project aims to overcome these barriers by developing a new silicon‑based photo‑modulator capable of delivering faster imaging speeds
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assays to uncover how ERG functions as an "immune gatekeeper" during both steady-state and inflammatory challenges. Ultimately, your findings will define a new roadmap for therapeutic targets to treat
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research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive
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Skilled in feature extraction Programming ability using Python or MATLAB, and familiar with platforms such as Scikit-image, TensorFlow, or PyTorch Desirable: PhD in a related area Knowledge of reinforcement