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About the Role This job is a stakeholder engagement, event management and programme coordination role. A key member of the SEF Professional Services Team, the post holder will be responsible
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degree and significant experience in the operational and administration of large-scale clinical programmes of study and extensive experience of major project and programme management (preferably within a
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for the post of Student and Programme Administrative Assistant in the School of Life Sciences and the Environment. We are looking for an organised and motivated individual to join our dynamic team. You will be
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for an experienced leader to play a key role in delivering our new Transformation Programme. You will play a leading role overseeing our exciting programme of activity, working closely with the Senior Leadership Team
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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For this role you will have a PHD in a relevant and appropriate discipline (e.g. Bioinformatics, Computational Biology or Computer Science alongside a track record of working in these environments. Your
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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Programme Officer in the School of Humanities. Academic Administration at Royal Holloway is organised into six School Administration teams and a Doctoral School, which are part of the University’s Academic
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About the Role The post holder over sees the management of the database system that supports the maintenance and growth of the engagement of one of Queen Mary’s largest stakeholder audiences, our global community of over 240,000 alumni. The role ensures the legislative compliance of the data...
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science projects aligned with the university’s strategic and operational goals Take ownership of data analysis workflows including data extraction, preparation, modelling, and reporting Promote data