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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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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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. The BlueMat project ‘Automated correlative image analysis for BlueMaterials‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image
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Vacancies Postdoc position in microbubbles for ultrasound molecular imaging Key takeaways You will join an interdisciplinary research project in molecular ultrasound imaging using functionalized
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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interdisciplinary research project in molecular ultrasound imaging using functionalized, monodisperse microbubbles. The project aims to understand how the acoustic response of microbubbles changes upon molecular
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fixed-term until 31 January 2029. The BlueMat project ?Automated correlative image analysis for BlueMaterials?, bridges the different techniques developed within the cross-area imaging and gives support
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
function using functional MRI or ultrasound imaging. The Max Planck Institute for Biological Cybernetics conducts research that elucidates neurological processes across various organizational scales via
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in physics or engineering including wave physics and signal processing Expertise in flow quantification and mapping with ultrasound imaging mandatory Extensive experience in programming (Matlab and C
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pathology to resolve single cell heterogeneity and identify subtle cellular differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep