221 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at University of London
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directly to high-quality experimental research. The post holder will provide hands-on laboratory support, assist with experimental design, data generation and analysis, maintain accurate research records
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of students and staff, improving how they access information, services and support, every day. The role holder will be passionate about user-focused digital solutions and want to make a real difference in the
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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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linked EHR data. This project explores socioeconomic and ethnic inequalities in respiratory virus transmission and their impact on GP services in winter and whether these pressures are evenly distributed
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digital transformation project. It will be at the forefront of building a solution will support thousands of students and staff, improving how they access information, services and support, every day. The
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resistance in colorectal cancer. We use single-cell multiomics and spatial transcriptomics data from patient samples and patient-derived organoids (Ogden et al., Cell Genomics 2025, Efremova et al. Nature
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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 Intranet
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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encourages applications from all 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
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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