228 data-"https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" positions at University of London
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of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will
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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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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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criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any
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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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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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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 around EDI
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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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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