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for career and skill development. The work will focus on image processing and visualization of images or volumes, and may involve the following areas: Image processing and image analysis of tomographic data
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chicken models. - Expertise in confocal microscopy, live imaging, image analysis and segmentation, immunostaining, molecular biology and electroporation. Website for additional job details https
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the EU Research Framework Programme? Other EU programme Reference Number 2609/11 Is the Job related to staff position within a Research Infrastructure? No Offer Description Analysis of microscopy images
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of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
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data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
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support the Preclinical Imaging Shared Resource (PISR) within the University of Kansas Cancer Center and the Department of Cancer Biology. This position will develop and apply advanced preclinical imaging
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Description Join the Next Generation of Cancer Imaging Research We are seeking highly motivated students to join an exciting multidisciplinary program focused on the development of novel molecular contrast
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, particularly in the areas of image processing and analysis Contribute to practical courses and teaching in the field of light microscopy Support lab management and administration (e.g. booking platform) This is
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experiments in macrophages and carry out their quantitative analysis. The work will involve image processing, segmentation and tracking using Maestro and ShuttleTracker, complemented by Python-based analysis
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of experimental data generated through immunocytochemistry, molecular biology, and imaging techniques. Where to apply Website https://pica.cineca.it/ Requirements Additional Information Eligibility criteria