220 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at University of London in United Kingdom
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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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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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. 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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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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. 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
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mentors. You will also contribute to evaluating the impact of peer support activity, using student feedback and participation data to inform continuous improvement and reporting to internal stakeholders