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preparation of reports, and some minor administrative tasks. Project: Migrants’ Digital Spaces (MIGDIS):technology-assisted analysis of home, border and belonging For an information package including full
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candidate will support the delivery of the 2-year MSc in Diagnostic Radiography and MSc Radiation Therapy programmes and teach and coordinate elements of the postgraduate MSc in Medical Imaging and Radiation
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biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience in these disciplines particularly with a focus on zebrafish
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production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and
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. Support the design and conduct of in vivo research on mechanisms and treatment of epilepsy and co-morbidities in the animal models of epilepsy. Analysis of data and maintenance of datasets. Preparation and
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, identify any areas for enhancement and undertake a needs analysis, to propose recommendations for the future. The post-holder will contribute directly to this work with Project Leads, Academic Secretary and
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analysis of focus group discussions with healthcare professionals (HCPs) to better understand their learning needs and educational priorities regarding secondary stroke prevention. This will include
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
analysis pipelines to deliver real-world translational outcomes and contribute to a multi-omics ovarian cancer knowledge base. Candidates should submit a motivation letter, CV with publications, and contact
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and analysis, including for example semi-structured expert interviews and/or focus groups, to join the European Research Council (ERC) funded PatentsInHumans project team as a postdoctoral researcher
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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following