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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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description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
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Description of the workplace This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address
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strong interdisciplinary research in areas such as genetics, neuroscience, and brain imaging. The postdoctoral fellow will become a part of the department’s profile area: Brain, gene, and environment
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research unit. The division focuses on uncovering molecular mechanisms of health and disease through advanced imaging and biophysical approaches. The research group hosting this position studies Contractile
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. The postdoctoral researcher will have the opportunity to: Study the principles of plant cell adhesion and tissue biomechanics. Use microscopy image processing tools and software. Use, refine and develop finite
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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Postdoctoral position on transthyretin amyloid formation using X-rays, neutrons and electron microscopy. Description of the project A motivated postdoctoral researcher is sought to work on the
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are required for the project: Expertise in experimental x-ray imaging Experience in theory and analysis of tomographic data. Excellent written and spoken English. When appointing a postdoctoral researcher, the
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on histopathology image data. As a postdoctoral researcher you will be involved with development and validation of AI/deep learning solutions for precision medicine and patient stratification (patient outcome