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(or comparable deep learning models) for image analysis. Demonstrated expertise in digital pathology concepts, including image processing, feature extraction from whole slide images, and working with large-scale
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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Your Job: The PhD project is methodologically independent, with the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will
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, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and Image processing Optical bench instrumentation
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to process large (tens to thousands of TB) optical imaging datasets. • Develop, apply and deploy data handling pipelines designed to process multimodal imaging data with dozens of imaging channels
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accelerating its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing
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of the facility is 1) high-throughput, high-quality data collection on user-provided ready-to-image cryo grids utilizing either single particle or cryo-electron tomography; 2) use the cryo FIB-SEM system to mill
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Annual tax-free stipend of £22,780/year for 4 years, full coverage of tuition fees for UK/Home Students, plus training/travel funds Placed On: We invite applications for a fully funded PhD research
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international scientific conferences. Also expected to prepare posters/talks and represent the lab at local and international scientific conferences. Perform sample processing, staining, imaging and analysis