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Field
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for BlueMaterials?, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling
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support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative imaging in particular, it will streamline image processing efforts and enable
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processing challenges. By focusing on automation and enabling correlative imaging in particular, it will streamline image processing efforts and enable the elucidation of specific mechanisms of water-material
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physics, materials science, computer science or a related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in
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to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative imaging in particular, it will streamline image processing efforts and enable
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-based imaging system at HZI, perform experiments in prototype systems, and provide critical feedback to collaborating engineers to optimise the system. The ultimate aim of the system is to provide
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interdisciplinary, with biologists, engineers, physicists, and computer scientists working side by side on ambitious projects. Our pioneering work has been recognized by high-profile scientific journals including
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy
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related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in programming languages such as Python and experience