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spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
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machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data
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external). High level of computer literacy including familiarity with MS Office applications and some experience with content management systems (e.g., Contensis and/or WordPress) and learning management
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, Mathematical & Engineering Sciences. The post holder is required to hold a PhD degree in Computer Science or other relevant discipline. They will have skills in natural language processing and deep learning
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill
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registration and already hold or be close to obtaining a PhD/ DPhil/MD. They should be eligible to work as a GP in the UK. The post holder will be eligible to apply for the School Learning and Development Fund
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multi-modal image registration, based on state-of-the-art machine learning approaches. The developed methods will be applied for ultrasound-based navigation in a novel ultrasound engine designed to drive
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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registration and already hold or be close to obtaining a PhD/ DPhil/MD. They should be eligible to work as a GP in the UK. The post holder will be eligible to apply for the School Learning and Development Fund