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the feasibility of a full ultrasound image analysis pipeline for the extraction of volumetric assessment of the fetal brain using point-of-care ultrasound devices. The post holder will play a key role in acquiring
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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and co-editing research vision and policy documents The post holder will engage in developing and leading research projects contributing to IDAI's interlocking thematic networks: Governance, Economy
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internally and to funders, through co-authoring and co-editing research vision and policy documents The post holder will engage in developing and leading research projects contributing to IDAI's interlocking
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image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary research. About the Role The role includes carrying out fundamental plant science research related to a
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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. The Nightingale Centre houses the largest breast cancer unit in the UK and the first and largest Family History Risk and Prevention Centre. It is also home to The National Breast Imaging Academy. A large primary
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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(see below). There is currently one fellowship available where the successful candidate will join one of our Cardiovascular Research Teams, details as follows: - BRC Theme: Cardiovascular / Imaging