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models with a group of highly motivated scientists to employ interdisciplinary approaches such as retinal cell biology, functional genomics, imaging, and biochemistry. The Chen Lab has a well-recognized
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for the project. Project Description AMBER Project Overview This project is part of the EU co-funded research initiative AMBER, Advanced Multiscale Biological Imaging using European Research Infrastructures, which
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on an optical table and integrating novel optics to microscopy are a requirement for this position. Knowledge in computational imaging, mathematical modeling, strong computer programming skills in MATLAB and/or
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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to the engineering process, ensuring it is current and usable for informed decision-making in circular economy contexts. The research group studies how technology impacts organizations using mixed methods—both
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, regenerative biology, or olfaction Interest in microbiome-host interactions Experience of molecular biology PhD in a relevant area Experience of imaging Team worker Desirable criteria Original research
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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structured and unstructured data, such as text, images, and videos. Additionally, there are individual machines available, each with high-performance GPU cards for enhanced processing capabilities. Various
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) Understanding of basic cell culture techniques (media preparation, sterile conditions) Computer literacy is essential for the recording and communication of results Experience of work in sterile conditions
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Responsibilities Specific responsibilities will include data acquisition (flow visualization, particle image velocimetry (PIV), pressure, acoustic, and high-speed video/kinematic measurements), analysis, and