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, medical imaging, AI applications, or digital innovation will be an asset. About Us Join a unique British University in China. Join a unique British University in China. University of Nottingham Ningbo China
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, or engineering large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness
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and imaging experiments. The group's research is organized around three main themes: the mechanistic modeling of pattern formation and morphogenesis; the synthesis and decomposition of developmental
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are developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during breast cancer surgery. The instrument will allow surgeons
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Cancer Centre based in the Biodiscovery Institute. We are developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during
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industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
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-modal datasets (e.g., biological, imaging, environmental, or clinical data). Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with machine learning frameworks (e.g
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. Facilities will be provided including lab space, computers for imaging analysis, electromagnetic loading machine, nanoindentation, micro-computed tomography, and tools for histology of bone-implant interface
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, or microbiome analysis is advantageous. Proven record of publications in microbiology, biotechnology, or related applied sciences. Proficiency in relevant laboratory techniques (e.g., microbial culture, imaging
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combination of animal models, fluorescent imaging, and electrophysiology to explore the cellular and organism-level function of these new receptor proteins. You will have the opportunity to use a unique set of