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Field
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. Demonstrated experience in one or more of: medical or optical imaging (e.g. OCT, MRI, CT); image processing and analysis of 2D/3D data; computational modelling, simulation, or optical system design. Proficiency
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health. Successful candidates may have experience in electron or X-ray microscopy, image analysis, AI and machine learning, quantitative data science or computational modelling. They will be able to work
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advanced TEM techniques, with a strong focus on Lorentz microscopy and off-axis electron holography for quantitative magnetic imaging. The project will involve extensive use of a new state-of-the-art liquid
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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Department. About the project TrainGate uses trackside inspection portals to monitor passing trains at operating speed. Images, acoustic and vibration signals, and identification data are combined to detect
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inspection portals to monitor passing trains at operating speed. Images, acoustic and vibration signals, and identification data are combined to detect and track defects in wheels, brakes, pantographs and
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should have a strong background in organoid models, in particular advanced organoid imaging and analysis methods. Individuals who are highly motivated and willing to develop innovative new techniques
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to novel personalized strategies of particles de-sign for drug delivery, imaging or diagnosis. This PhD project will develop stimuli-responsive nanozyme coatings for personalized medical implants. Nanozymes
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, computational biology, or related biomedical fields. Experience with cell culture, animal models, molecular biology, imaging, or computational analysis. Experience with 3D organoids or slices models, confocal
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. Proficiency in standard molecular and cell biology techniques, including RT-qPCR, ELISA, immunocytochemistry, and Western blotting. Experience with sample preparation, imaging, and image analysis using confocal