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Field
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imaging-based microstructural analysis. Current activities include nanostructured biosensing interfaces for extracellular vesicle detection, mesoporous material architectures for pore-blockage sensing
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, image processing, or optical instrumentation. Fluency in English, both in scientific communication and in the writing of reports and research articles. Workplan and objectives to be achieved
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in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics, and genomics), and
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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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application end stations to be used for imaging, absorption/reflection spectroscopy, and other quantum sensing techniques. Practical working knowledge and hands‑on experience with lasers and optics, spanning
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for diagnosis and treatment, radiograph analysis, and patient outcomes in musculoskeletal care. The candidate will also work towards the development of ML projects to deal with multi-model datasets (text, images
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, and regulatory requirements. collaborate effectively with multidisciplinary researchers, clinicians, industry partners, and external collaborators. contribute to the day-to-day operation of
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, Western blotting, immunoprecipitation, and confocal imaging. Conduct in vivo studies using animal models, including administering treatments, performing viral infections, and performing post-procedure
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mitochondrial biology. Previous experience in Drosophila work and confocal imaging would be a strong plus. This position will be supervised by Prof Hansong Ma in the School of Biosciences at the University
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focus on foundation models, medical image analysis, and multimodal healthcare data integration. In this role, you will: Develop novel federated AI methodologies, foundation model adaptation techniques