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Field
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We are seeking an ambitious and highly motivated Research Fellow in Computer Vision to contribute to an EPSRC-funded project, LungSight, focused on visual and acoustic screening for early detection
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in
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contributing effectively to building and maintaining effective and productive links locally and nationally. Sound understanding of the local research environment, research ethics and governance processes, and
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, transparency, and sound processes will provide the basis for making wise and forward-looking decisions. Our students and staff will have the opportunity to develop their abilities and potential. Rooted in
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research accountabilities into actionable tasks, ensuring high‑quality outputs and meaningful progress against project goals. As a subject‑matter expert, you will be expected to provide sound, evidence‑based
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and trigger diverse contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting
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., Stata, SAS, R) code to automate data cleaning, transformation, and analysis. Perform statistical analyses such as descriptive statistics and regression modeling. Develop and implement validation processes
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sound semantic principles • Focus on the use of string diagrams and graph rewriting in the development of compilers and interpreters • Disseminate research findings for publication, research
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-time equivalent) of relevant research experience. A sound understanding of genetics and genomics methods, especially DNA extractions, library preparation and sequencing of DNA in non-model organisms