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models Experience with Pytorch, MONAI, CUDA or equivalent software libraries for developing deep learning models. Familiarity with medical image such as MRI, CT, or volumetric ultrasound. Knowledge
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Experience with Pytorch, MONAI, CUDA or equivalent software libraries for developing deep learning models. Familiarity with medical image such as MRI, CT, or volumetric ultrasound. Knowledge on common medical
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skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models Experience with Pytorch, MONAI, CUDA or equivalent software
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(MRC CMM) seeks an experienced research associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC
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between the Hong Kong Polytechnic University (HKPU) and the Royal College of Art (RCA), funded by the Hong Kong SAR Government’s InnoHK programme. Drawing on the research excellence of both institutions
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The Role Applications are invited for a Postdoctoral Research Associate in Mathematics with a particular emphasis on the p- adic Langlands programme and related areas. The research project , led by
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. Keith Channon – a 5 year renewable award that underpins the work of the group. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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previous GEM initiatives, including the Inclusive Cities programme. You will have a passion both for academic research and for knowledge exchange with policy makers, NGOs, and other stakeholders and an