240 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of London in United Kingdom
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or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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people regardless of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives
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the selection process and thus a 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
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, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks
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proposals and business development opportunities. Ensuring effective internal and external communication, including presentation of complex narrative and financial information. Contributing to ICEH’s long
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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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For further information before applying please contact Sam Moors, Head Surgery Ward RVN on smoors@rvc.ac.uk We promote equality of opportunity and diversity within the workplace and welcome applications from
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institutional visibility through coordinated, data-led content and campaigns. For a full role profile, please refer to the job description below. Further Information To be considered for this opportunity, please
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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