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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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, Chemistry, Chemical Engineering, Materials Science or a related quantitative discipline (or equivalent industry experience), together with an undergraduate degree (2(i) minimum) or M.Sc. in a relevant field
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expertise complement each other to together do great science on topics of biomedical importance. This is further enhanced by tight, cross-disciplinary collaborations with multiple other labs with
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community of over 500 staff and more than 300 PhD students engaged in cutting edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences We are seeking
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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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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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medical science spanning digital healthcare, computing and data science, biomedical engineering or a related field. Extensive knowledge in development and application of AI/machine learning for
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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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within the Department spans basic and translational science, bringing together researchers with expertise across a range of neurological conditions and experimental approaches. Based within the
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community of over 500 staff and more than 300 PhD students engaged in cutting edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an