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Field
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models. PIML can learn from small amounts of data and are more immune to hallucinations than conventional AI, making them exceptionally suited for biomedical applications. Research Environment You will
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models. PIML can learn from small amounts of data and are more immune to hallucinations than conventional AI, making them exceptionally suited for biomedical applications. Research Environment You will
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& Medical Sciences and have access to invaluable clinical datasets provided by St George's Hospital. With the support of leading biomedical researchers with strong ties to radiology, your work holds the
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and initiative. Translate your research findings into a doctoral dissertation. Job requirements You have a master's degree in a relevant field (e.g., biomedical sciences, biology, medicine) and have
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multi-scale shape changes, applicable to biomedical, micromechanical, or optoelectronic applications. Advantages: This studentship will take place in world-leading research laboratories for additive
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materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex multi-scale shape changes, applicable to biomedical, micromechanical
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honours degree (or equivalent) in the physical or biomedical sciences. We welcome candidates who are passionate about science, eager to work across disciplinary boundaries, and motivated to tackle real
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a growing field, with many applications in biomedical devices, electronics, and autonomous machines. Actuators to drive these robots utilise electronic, chemical, pressure, magnetic, or thermal
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Research Assistant (RA) to support experimental research efforts in basic biomedical research jointly between the two labs. The RA will work closely with senior scientists in the labs and participate in
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(or equivalent) in a biomedical science. Experience in neuroscience and/or immunology is desirable. Project key words Retinal imaging, data-analytics, computer vision, big data Funding The studentship, funded by