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submitting your application, please ensure you read the Job Information Pack for full details of this role on our website. This job description set outs the skills and experience we believe are needed to be
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for this vacancy and to view further information about the role, please click the 'Apply' button above. To apply to this post, submit a CV, motivation letter detailing why you want to be part of this project and how
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, Migration and Non-Elite Bilingualisms; and 4) Translation. The team will concentrate the analysis of this large and varied data set into four regional case studies (Calabria and Sicily, Carthage, the Southern
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) Translation. The team will concentrate the analysis of this large and varied data set into four regional case studies (Calabria and Sicily, Carthage, the Southern coast of Gaul; and Gallaecia), the results
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agrifood systems and experience in research, data analysis and stakeholder engagement. You will demonstrate initiative and the ability to work both independently and as part of multidisciplinary and
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Research Associate to support the work of Professor Angus Jones and the world leading Exeter diabetes research team. The successful applicant will work on a Diabetes UK funded project using data from >5000
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of Manchester and Imperial College. This role involves computational modelling and experimental data analysis, integrating mathematical models of clock neurons and populations with in-vitro and in-vivo
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. Data collection and reporting, including coordinating the work of other researchers where appropriate and following up tasks to completion. Travel to study sites around the UK to undertake study quality
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Opportunities for hybrid working (typically 60% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . About the role The Blavatnik School
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POSTDOCTORAL RESEARCH ASSOCIATE MODELLING VECTOR (TICK) ECOLOGY AND TICK-BORNE PATHOGEN TRANSMISSION
on delivering high-quality data and mathematical models to inform the response to emerging veterinary parasitic disease threats and the impacts of global change on disease risk worldwide. The research group sits