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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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Nurses Network. Working closely with Dr Marion Waite and her team, you will support the recruitment of participants, as well as multi-site and multi-method data collection in person at specific NHS sites
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of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene
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Nurses Network. Working closely with Dr Marion Waite and her team, you will support the recruitment of participants, as well as multi-site and multi-method data collection in person at specific NHS sites
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complement the expertise that currently exists in the department. This may involve data analysis at any level, the exploitation and development of novel statistical methods, or the theoretical modelling
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microscopy and bioimaging methods to understand dynamic cellular aspects of ciliary dynein assembly. You should hold, or be close to completion of, a PhD/DPhil in biochemistry, together with relevant
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to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led
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Paphitis, Senior Research Fellow in Qualitative Methods, and will be embedded in a collaborative, supportive environment that values participatory and trauma-informed approaches. King’s Women’s Mental Health
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publications, conferences, and non-academic outputs such as policy briefings and creative engagement. The role will report to Dr Sharli Paphitis, Senior Research Fellow in Qualitative Methods, and will be
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design