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distinct genetic unpinning; to explore this further there will be opportunity to integrate predictions with ALS disease models (such as iPSC-derived motor neurons) and large whole genome sequencing datasets
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stem-like cell (GSC) models by sampling multiple distinct tumour regions to recapitulate their post-surgical and pre-therapy features, as well as their intra-tumoural heterogeneity (https://bit.ly
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and cancers. The dataset will bring together digital whole-slide pathology images, clinical photographs, genomic sequencing, and clinical outcome data, laying the foundation for AI-powered diagnostics
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an appreciation of a wide variety of translational neuroscience research programmes. You will have the opportunity to develop your own research project aligned to the interests of the MND group. Main duties and
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, to enhance patient care and staff development. Duties Engage in regular networking events and joint meetings to disseminate information, share lessons learned, and align educational strategies across divisions
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recognised for research in MR methodology and clinical translation. The candidate’s research will be closely aligned with broader aims of the Section of Medical Imaging and Technologies in the Division
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for children and young people with profound and multiple learning disabilities: INTERACT trial www.interacttrial.com The research study is evaluating an interaction and communication approach called Intensive
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: Benefit from both group-based and personalised training activities. We’ll help you craft an individual training plan that aligns with your career goals. Live in Sheffield: Enjoy life in one of the UK’s
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healthcare sustainability and the use of polymeric bio-based materials. Desirable Application/Interview Ability to manage, organise and analyse datasets from multiple sources (e.g., material testing results
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-species justice. This is an exciting opportunity for an individual interested in the ways design and design-research (in multiple forms) might be drawn upon to foster more inclusive MtH futures. You will