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to be based around non-vibratory haptic feedback. The proposed solutions will be fabricated, tested and iteratively developed, leading to a final working prototype. In this role you will be developing
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computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis, to deliver a
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control of image illumination/acquisition and stage movement systems. Processing and analysis of data from the above. Interacting with commercial collaborator for the translation of concepts to applied
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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
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benefits across the healthcare supply chain. Candidate Profile: A PhD in a related field is highly desirable given the technical complexity and innovation. Skills/ experience required include: Essentialfor
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on the development and pre-clinical assessment of both molecular and cellular immunotherapy products, using in vitro and in vivo platforms. You will process clinical samples, operate specialist laboratory equipment
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across the world and a wider group of stakeholders, you will lead the research on advanced image reconstruction techniques that jointly process multi-contrast MRI data to maximize image quality—leveraging
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and quantify large-scale time lapse datasets Main duties
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Overview The Research and Innovation Associate will assist in the research and publication of two major books on the twentieth-century poet Elizabeth Bishop: a trade book of her picture postcards