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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi
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process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly. The post is based in Mile-End. It is a full-time (35 hours), fixed-term (24
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to have significant academic and policy impact, and high visibility. The post offers an exceptional environment for academic growth, interdisciplinary collaboration, and meaningful engagement with one
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evidence to support the inclusion of novel therapies in clinical trials, and to improve outcomes for children affected by MRT. This post is fixed term for a period of 3 years. For informal enquiries contact
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. The post is funded by the EPSRC’s Centre to Centre (C2C) Grant, “Mobile Robotic Inspector: Learning to Explore and Manipulate in the Real World” and is fixed-term of 24 months duration. The project will
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About the role This Research Assistant post will support data collection and analysis on a longitudinal study of children’s pathways through the healthcare system. We are looking to recruit a
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, Mikko Kivelä ( emails "firstname.lastname@aalto.fi ") for research-related questions HR Advisor Susanna Holma, e-mail "hr-cs@aalto.fi " (for questions on the recruitment process and Aalto more generally
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degree applications. The positions will be directly supervised and mentored by post-doctoral researchers whose responsibility will include support for these applications. Your CV will be further enhanced
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nanofabrication as well as stem cell culture and differentiation is highly desirable. About the School This post is within the School of Engineering and Materials Science (SEMS) at Queen Mary University of London
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multidisciplinary team. This post also offers an excellent opportunity for academic career advancement and Sheffield Hallam University provides a range of internal development opportunities for research staff