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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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mosquitoes. We are now looking for an experimental geneticist or an cryo-imaging expert for projects funded by the Wallenberg Foundation. Aim of the position is to study how molecular interactions between
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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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research on protein aggregation, and state-of-the-art imaging techniques. We anticipate this postdoctoral fellowship will contribute to impactful research in the field of neurodegeneration. The project
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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
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are currently looking for a postdoctoral fellow in experimental ovarian cancer research for a period of
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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide