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EU grant funded project and will be involved in the development AI supported diagnostic tools and assessing off-the-shelf AI-assisted technology for ophthalmic analysis and data capture, in close
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rare opportunity to work across the complete development chain of a medical device: from designing the sensors, through the readout electronics and data analysis, to integrating the system with
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contribute to a research agenda in the following two potential directions: • Led by Dr. Kenan Arifoglu, Dr. Aras Selvi: research on end-to-end synthetic data generation and decision making under
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improve epidemic preparedness in Sub-Saharan Africa by strengthening epidemiology and data science capacity. CCM supports training in infectious diseases and bioinformatics. Together, these programmes
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stable relapsing-remitting multiple sclerosis (RRMS). You will play a key role in patient recruitment, clinical assessments, and data collection, working closely with colleagues at UCLH and the MRC
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restoring DEAF1 function may be beneficial. You will contribute to genetic and behavioural experiments, as well as transcriptomic studies and data analysis, to improve our understanding of how DEAF1
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demonstrated ability to design and conduct research independently, and be organised, creative, and collaborative. Experience in integrating multiple data types to address biological questions, is highly