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orientation. Post-Doctoral level training in applied health research methods, excellent data collection and analysis skills, and experience of conducting and reporting mixed-methods research or evaluation
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’ post-doctoral or equivalent industry experience in omics with preferably focus on spatial transcriptomics Proven ability to develop and optimise spatial biology pipelines Expertise in multi-omics data
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impacts in the UK. Candidates should have a postgraduate (ideally post-doctoral) degree in epidemiology, medical statistics, public health or similar, and have knowledge of climate change adaptation and
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(Leverhulme Trust) guidelines on the definition of ‘early career researcher’ for its own, separate fellowship scheme include: you have not yet held a full-time permanent academic post; you hold a doctorate by
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(Leverhulme Trust) guidelines on the definition of ‘early career researcher’ for its own, separate fellowship scheme include: you have not yet held a full-time permanent academic post; you hold a doctorate by
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impacts in the UK. Candidates should have a postgraduate (ideally post-doctoral) degree in epidemiology, medical statistics, public health or similar, and have knowledge of climate change adaptation and
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either a postgraduate student, probably in the latter stages of research leading to a PhD degree (or equivalent), or a post-doctoral researcher who has completed their PhD Degree after 1 January 2025
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post-doctoral health services researcher or social scientist with realist review experience, and preferably with a knowledge of genomics, cancer and/or NHS workforce. The researcher will be supported by
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requirement for this position. Experience with opensource CFD software, including code development, is considered a strong asset. Excellent oral and written communication skills and a track-record demonstrating
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Applications are invited for an enthusiastic and motivated Post-Doctoral Research Associate/Fellow to join the laboratory of Professor Alan McIntyre within the Centre for Cancer Sciences based in