240 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" positions at University of London in United Kingdom
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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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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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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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. 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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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
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for Student Study Services. This post will play a vital role in supporting the organisation’s data infrastructure and enabling the successful implementation of a new Student Records System. The successful
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, sexual orientation, or trans status 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
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr