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Field
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analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities Plan and execute experimental workflows to achieve project
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team-working efforts with other researchers working on the project to deliver state‑of‑the‑art single‑photon imaging capabilities, and to disseminate results through publications, reports, and IP
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collaboratively with researchers and engineers to develop prototype solutions and human-in-the-loop evaluation frameworks. Conduct user studies and analyse results (e.g. eye-tracking, physiological sensing
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on application expertise and interest; Generation and analysis of mass spectrometry based exposomics data; Analysis of multiomics data; Analysis of MRI-derived imaging data; Provides guidance and support to PhD
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, and construction progress analysis. Key Responsibilities: Conduct research in computer vision, machine learning, large language models, AI agents, and 3D reconstruction for infrastructure digitalization
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, or epithelial-plasticity pathways. Interpreting single-cell sequencing, spatial transcriptomics, multiplex imaging, and related multimodal data. Working closely with computational scientists, pathologists
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, executing, managing, and analysing user studies across lab and real-world pilot settings, ensuring research rigour, ethics compliance, and actionable insights for iterative prototype improvement, evaluation
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high-throughput liquid handling techniques Expertise in molecular biological techniques to obtain, clone, and re-express TCRs and BCRs Expertise in flow cytometry, single-cell repertoire analysis
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treatment optimisation. Tooth preparation, white spot lesion models and imaging will also be main important supporting elements, including quantitative analysis and integration with the wider team working
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of intelligent tools for treatment planning automation, image and data analysis, and adaptive radiation therapy workflows. Your work will have broad impact across both photon and proton therapy, with