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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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seamlessly integrated into visualisation environments. It is essential that you hold a Bachelor’s degree in a relevant discipline (e.g. Computer Science, Bioinformatics, Data Engineering, Biomedical Sciences
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We are looking for an enthusiastic image analyst with suitable technical expertise to support an exciting research programme focused on the development and validation of novel technologies
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biomedical image analysis or computational psychology. You will have proven experience in stochastic analysis and neural differential equations and with the development of stable diffusion models. Post
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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systems that model cardiac physiology, disease and regeneration. It brings together expertise in stem cell and developmental biology, tissue engineering, imaging and computational analysis to accelerate
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degree in neuroscience, data science, computer science, or engineering is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering
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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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in iPSC biology and lab management and an interest in using high content imaging to identifying phenotypes in iPSC neurons and glia derived from cells bearing Alzheimer’s disease risk variants. What We