235 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" positions at University of London
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well as data collection and management. They will work as part of a team, liaising with clinical and non-clinical academics involved in the study, PhD students, clinical staff, technical staff and other key team
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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 acceptable
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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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attention to detail and the ability to use data and market insights effectively to support decisions. The post holder will be expected to act with integrity, provide robust commercial, process-compliance and
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. These languages notably power WhatsApp's servers, Uber's software infrastructure, and the NHS information backbone. Two key advantages of message-passing concurrency are that it is higher-level and avoids data-race
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status, 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
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Education is desirable, but not essential. For a full role profile, please refer to the job description below. Further information To be considered for this opportunity, please submit your application and CV
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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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. 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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. The study integrates clinical, microbiological, and data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. Key output involves leading