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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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About the role An exciting opportunity has arisen to join the Department of Oncology as a Postdoc within the Cancer Prevention Vaccine team, part of the GO-Precise alliance (PRECancer Intervention
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About the role An exciting opportunity has arisen to join the Department of Oncology as a Postdoc within the Cancer Prevention Vaccine team, part of the GO-Precise alliance (PRECancer Intervention
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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imaging. This includes exploring efficient network designs, contributing to the development of novel learning-based representations for geometric reconstruction, and integrating insights from neural
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). This collaborative Institute brings together leading researchers from the University of Oxford and GSK, with expertise across genetics, molecular biology, imaging, and computational science, to drive innovation in
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. At the Dunn School we are committed to supporting the professional and career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive
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settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems, attack surfaces
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(notably MCP, A2A). Note that the successful candidate will work in collaboration with two other postdocs on a closely aligned project “Rethinking multi-agent systems in the era of LLMs”, funded by
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studies is an integral part of the post, which will also involve training in intracoronary imaging and physiology. It is not an approved training post. It is not a suitable post for candidates with limited