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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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, covering aspects from engineering, manufacturing, economics and public perceptions. They will also develop the Diagnostic Discard exhibition to engage a broader public to consider diagnostic waste. See full
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at higher risk offered PSA blood tests which are not definitive. Our research aims to develop an image-based approach to screening, combining PSA testing with MRI to better identify aggressive cancers
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will work closely with the Principal Investigator to support the delivery of a project focused on developing culturally appropriate programmes for South Asian and Muslim (SAM) communities. Key
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at the University of Cambridge. Key responsibilities The primary scope of the role is to develop an effective, user-friendly and replicable digital framework for the monitoring of diverse heritage threats to support
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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a website improvement project, supporting with the development of academic and outreach initiatives, and providing guidance as needed to junior members of the research group including research
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to varied audiences The ability to supervise PhD students and support colleagues A flexible and proactive attitude, with initiative to develop new approaches and strategies A keen interest in biomedical
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of TML. You are expected to: Carry out state-of-the-art research. Prepare and publish manuscripts at leading conferences and journals. Present your work at academic and industry events. Collaborate with
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by a VinUni scientist who will oversee the research. Preliminary research plan developed in consultation with a VinUni research team leader. COMPENSATION & BENEFITS Competitive Compensation: A