50 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at University of London in United Kingdom
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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governance and data protection requirements, and contribute to a supportive research culture About the School/Department/Institute/Project The WIPH is an exciting and dynamic environment, home to 450+ staff
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note
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, focus groups, observation and documentary analysis, and will lead on the analysis and synthesis of qualitative data using systems evaluation frameworks. The role requires an excellent understanding
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public services, such as; water utilities and rural energy communities. Key responsibilities of this position include i) coordinate with Ukraine in-country partners to collect data and propose use cases
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relating to M. sorbens oviposition and behaviour, and other research-related tasks as part of the research team. The post-holder is expected to assist with the analysis of data arising from the research and
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In addition, you should be well-organised, and proactive, have an engaging
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variety of customer queries. While full training will be given for all of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In
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risk factors in eastern Hararghe, Ethiopia. Candidates should have a postgraduate degree in demography, epidemiology or a related field and have strong quantitative or data science skills. Further, we