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Commission (ITC); offering an early career EHR scientist a unique opportunity to develop a transnational research portfolio. We wish to appoint to a full-time position in the Department of Non-Communicable
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the use of mathematical modelling of infectious diseases. The post-holder will work closely with partners within the Global Polio Eradication Initiative to ensure that research is focused towards supporting
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for an enthusiastic and highly motivated Research Fellow to join the world-leading tuberculosis (TB) Modelling group at LSHTM. The successful candidate will be supervised by Dr Rebecca Clark and Prof Richard White and
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of early-2026. The starting salary will be Grade 5-6, £51,040-£60,040 depending on experience, inclusive of London Allowance. About You You will have a PhD, or relevant professional qualification
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, requests and issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from colleagues. Compliance with processes, procedures
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-ranging role. The post leads on all aspects of data collection, technical management, reporting and modelling for LSHTM’s Research Excellence Framework (REF) submissions, particularly the outputs submission
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science projects aligned with the university’s strategic and operational goals Take ownership of data analysis workflows including data extraction, preparation, modelling, and reporting Promote data
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issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from colleagues. Compliance with processes, procedures and
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. Timely response to and resolution of enquiries, requests and issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from
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to classify unseen conditions without or with limited training samples, in order to tackle data sparsity issues. Applicants should have the equivalent of a PhD/MSc degree from Computer Science with research