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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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for conditions such as otosclerosis. The position requires expertise in medical image analysis, proficiency with neural network architectures (particularly CNNs for segmentation tasks), and experience processing
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team on the ‘Evaluating the Usability and Acceptability of a Prototype AI-Powered Recovery Pathway Progress Dashboard (AI-ERPP Dashboard) for Tracking Postoperative Recovery by Registered Nurses in
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Population and Data Science. The Institute was ranked the number one place in the world to study ophthalmology (CWUR 2017 world rankings), attracting principal investigators, post-doctoral fellows and PhD
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-oncology and early detection research. Your position will be embedded in the CCC’s Advanced Microscopy Development Group, led by Dr Simon Poland and based in the purpose-built laser and microscopy
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healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi-modality ultrasound analysis. The appointee will be part of the Noble research
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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the use of code repositories and ability to work in a collaborative environment. About the School The School of Physical and Chemical Sciences consists of the Department of Physics and Astronomy and the
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Applications are invited for a Post Doctoral Research Fellow position to work on a muti-institutional ERC SYNERGY project ‘HYDROSENSING’ which seeks to uncover how plants sense and respond to water