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on process development, electrode manufacture and performance assessment, but depending on the skills of the successful applicant, may also involve some aspects of modelling or data science. The post is funded
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even developing new algorithmic approaches for TAPS data
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Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
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Postdoctoral Researcher in Digital Pandemic Preparedness. The post holder will manage and carry out research in digital pandemic preparedness by leveraging multiple types of personal digital and real-world data
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a
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short-term role funded through the UKRI Frontier Research Grant of Prof. Matt Jarvis to exploit the first data release of the MIGHTEE-continuum component of the MIGHTEE survey in the COSMOS, ECDFS and
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on academic research that relies extensively on survey data and work with interview data, historical case studies, cross-national and sub-national data, and the literature related to this programme of research
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with relevant experience, and possess demonstrable experience of generating bulk and/or single-cell resolution RNA sequencing data from fresh and archival or fixed tissue samples. You will have documented
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research materials and analysing and presenting qualitative and/or quantitative data from a variety of sources. The successful candidate will hold a PhD degree in a relevant topic (e.g. Biomedical sciences