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causative treatment in the patients. Work will employ genetic tools, manual and automated patch-clamp measurements, immunohistochemistry, confocal/STED imaging, light-sheet fluorescence microscopy, and
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combined with soil sensors systems and UAVs with multispectral cameras. Your tasks in detail: Development and application of high resolution time-lapse GPR and EMI imaging methods at multiple scales
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, cardiovascular disease, and developmental disorders. 2. Mitochondrial responses to hypoxia Evidence indicates that mitochondria respond rapidly to hypoxia, controlling systemic processes in the vasculature and
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 days ago
opportunities for cutting-edge research projects. Students benefit from the extraordinary infrastructure enabling all types of cognitive neuroimaging experiments. The IMPRS CoNI covers all major imaging and
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inviting applications for a PhD Student (f/m/x) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project description Single molecule X-ray
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research
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of the dissertation Literature research Development of methods to optimise the proton dose distribution in the presence of magnetic fields from our in-beam magnetic resonance (MR) imaging prototypes Planning
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets
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single industrial environmental burden of our generation. Disruptive innovations are required for alternative reduction processes that convert mineral ores into metals without today’s carbon-based methods
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information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image processing