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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally...
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analysis. We particularly value conversation between scholars of different periods and places, with different approaches. We also value our connections beyond the world of scholarship, with strong
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kinds of task and activity in the project: literature reviews; primary and secondary data collection; interviewing informants; qualitative data analysis; presenting research at events; writing up research
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experimental assessments across the UK. The successful applicant will oversee data collection, management and analysis, and lead the dissemination of findings to academic and lay audiences. You will work closely
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oversee data collection, management and analysis, and lead the dissemination of findings to academic and lay audiences. You will work closely with families, NHS Trusts and charity partners, and contribute
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use approaches which range from local micro-histories to large-scale quantitative analysis. We particularly value conversation between scholars of different periods and places, with different approaches
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analysis. We particularly value conversation between scholars of different periods and places, with different approaches. We also value our connections beyond the world of scholarship, with strong
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more effective screening and therapy. The postholder will focus on developing and applying advanced computer vision and machine learning methods for multimodal imaging and real-time analysis in
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and facilitate public engagement with it; and conduct qualitative data analysis (of engagement with the tent). Other responsibilities may include: organising national stakeholder interviews; engaging in
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conduct qualitative data analysis (of engagement with the tent). Other responsibilities may include: organising national stakeholder interviews; engaging in policy-applied and/or academic writing; active