16 parallel-computing-numerical-methods-"Prof" Fellowship positions at University of London
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to cancer treatment delays. The successful candidate will join 50 researchers on 10 National Cancer Audits https://www.natcan.org.uk/ . The postholder will report to Prof Ajay Aggarwal (co-PI, TACTIC and
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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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safety, microbiology/analytical sciences. This is an opportunity for development of leadership skills through coordination and implementation of the research program in the UK and Vietnam. The successful
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addressed to jobs@lshtm.ac.uk . A short (500 words) planetary health related research proposal including appropriate methods and outcomes and feasible in a 2-year timeline, are to be submitted alongside your
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Security Agency (UKHSA) and LSHTM. We are looking for a social sciences researcher with expertise in conducting qualitative and mixed methods research/evaluations and a good knowledge of the UK vaccination
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clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
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research to understand health services and systems, alongside applied research to support clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative
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this Fellowship. The Fellowship will be for a period up to 6 months (normally between January and June 2026), based in Paris or London, or split between the two cities. As a Fellow, you will develop a programme of
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data, like electronic health record data, is advantageous. Knowledge of missing data methods is desirable. Further particulars are included in the job description. The post is full-time, 35 hours per
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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational