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: Monday 08 April 2024 Interview Date: Thursday 18 April 2024 Reference: 431-24 The Population Health Research Institute (PHRI) are seeking to appoint a Research Fellow in Environmental Epidemiology for 36
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experience and interest in environmental epidemiology to join the Environment & Health Modelling (EHM) Lab (https://www.lshtm.ac.uk/research/centres-projects-groups/ehm-lab ) led by Prof Antonio Gasparrini
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and link of neighbourhood environmental exposure data to large-scale administrative and epidemiological data. Further particulars are included in the job description. The post is full time 35 hours per
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health, microbiology, and/or epidemiology as well as a relevant PhD (public health, environmental health, environmental science or engineering, epidemiology, microbiology, or similar). The applicant should
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environmental features (ecological niches, animal movement) on disease spread. To achieve this goal, you will formulate and apply sophisticated mathematical models in conjunction with ecological data. The post is
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epidemiology as well as a relevant PhD (public health, environmental health, environmental science or engineering, epidemiology, microbiology, or similar). The applicant should have a track record of working
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, climate change) and natural environmental features (ecological niches, animal movement) on disease spread. To achieve this goal, you will formulate and apply sophisticated mathematical models in conjunction
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Epidemiology at the Tata Memorial Centre in Mumbai and the National University of Malaysia’s Molecular Biology Institute at the (UMBI). The post will suit an ambitious researcher with a particular interest in
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of infection sources. The epidemiology of campylobacteriosis is poorly understood in LMICs. In pilot studies, we have identified genomic variation in strains that may indicate differences in source, survival
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-relevant transport policies on health. Suitable candidates must have a postgraduate degree (ideally a doctoral degree) in a relevant topic and are likely to have a background in quantitative epidemiology