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-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis, to deliver a knee joint analysis pipeline capable of driving surgical innovation beyond 2030. The work program
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(e.g. Nextflow) and cloud compute environments (e.g. OCI, AWS, GCP) Familiarity with Bayesian methods, machine learning, or causal inference in the context of biological data Contributions to open-source
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The Leverhulme Centre for Algorithmic Life is a major new interdisciplinary research hub dedicated to the study of how machine learning and AI algorithms are transforming societies. The Centre is
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-edge projects in chemical biology and drug discovery and will underpin the development of state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models with collaborators. You will
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UK-accredited higher education institution founded by Arizona State University, is focused on new and innovative models of teaching and learning in the UK. ASU London is the expansion and rebrand
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, emphasising our commitment to widening opportunity through the power of education and contributing our talents to creating a fairer world, and a more prosperous region. We are putting inspirational learning and
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for the provision of a wide range of end-user and customer facing technology services, ranging from: student record management; curriculum & learning, IWMS, integration services; AI; identity and access management
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in a team. An understanding of a range of computer systems, including Windows and Networking, would be beneficial. This role would suit someone who is already working in IT, and it would be beneficial
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computer-based tools. To complete in-house MRI safety and operator training, then acquire structural and functional magnetic resonance imaging data on participants using a 3T MRI Scanner To complete in-house
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climate change, public health, or social inequality. Supervised by Dr Zhu and Dr Lo, the successful candidate will develop spatially explicit machine learning frameworks and interdisciplinary knowledge