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We are seeking a collaborative and self-motivated computational post-doctoral fellow to work on cancer cachexia in a vibrant and highly collegiate environment. The candidate will be expected to make
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-funded project Markets and Mobility: How Employers Structure Economic Opportunity (MaMo). The project uses administrative data, digital trace data, and cross-national surveys to examine how
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alongside clinical experts, bioinformaticians, and basic scientific researchers at a world-leading institution to make a tangible difference to the NMD rare disease community. While day-to-day engagement will
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, bioinformaticians, and basic scientific researchers at a world-leading institution to make a tangible difference to the NMD rare disease community. The post is available immediately and is funded by the Fidelity
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-centric machine-learning frameworks for large-scale sequence-structure analysis and functional prediction. The role involves designing, implementing, and benchmarking computational models; developing and
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the contribution that educational research can make academically, professionally and practically for individuals and communities. The work of the department strives to provide solutions to current and emerging
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, transport, energy and environmental sustainability. It investigates social life, paid work patterns, work-life balance, family, gender and socio-economic structure. It contributes its expertise to a range
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, with potential for extension. About you You will hold a PhD in a relevant discipline such as biochemical engineering, optical physics, protein biophysics, analytical chemistry or related field. You will