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the targeting of control measures. You will work in the areas of spatio-temporal epidemiological modelling and disease transmission simulation scenarios. This exciting opportunity will allow the postholder
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. The posts are nominally at grade 7, but can be up to grade 8, depending on candidates’ experience and career-stage. Essential attributes: PhD in infectious disease epidemiology or related topic, or extensive
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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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for developing spatio-temporal epidemiological models (including R0 and vectorial capacity) and provide disease transmission simulation scenarios. This exciting opportunity will allow the postholder to work on a