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postgraduate degree, ideally a doctoral degree, in a relevant topic and relevant experience in mathematical modelling, health economics, epidemiology, statistics or another relevant discipline with a strong
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are looking for an enthusiastic and productive mathematical modeler
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are looking for an enthusiastic, productive mathematical modeler
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University. “MARS: Mathematics for AI in Real-world Systems” is an exciting new £15M investment at Lancaster University, expanding on our excellence in spatial epidemiological and environmental modelling
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at Lancaster University. “MARS: Mathematics for AI in Real-world Systems” is an exciting new £15M investment at Lancaster University, expanding on our excellence in spatial epidemiological and environmental
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professionals. “MARS: Mathematics for AI in Real-world Systems” is an exciting new £15M investment at Lancaster University, expanding on our excellence in spatial epidemiological and environmental modelling
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Organization. The successful applicant will have a postgraduate degree, ideally a doctoral degree in health economics, mathematical modelling, statistics, epidemiology or another relevant discipline with a
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motivated research fellow to join the world-leading tuberculosis (TB) Modelling group (http://tbmodelling.lshtm.ac.uk ) at LSHTM. The successful candidate will be supervised by Prof Rein Houben and Prof
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Science Institute member, the Research Faculty will have office space and usage of the NetSI classroom, lecture space and conference rooms, as well as dedicated high performance computing, seed grants
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Faculty of Medicine – Centre for Clinical Research (UQCCR) Join a university ranked in the world’s top 50 Expertise in infectious disease epidemiology and modelling Be part of an organisation with