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Field
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data analysis and quantitative evaluation of imaging or histological data Fluent in English and strong communication skills in an international team environment Benefits Opportunity to integrate into a
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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an understanding of the underlying magnetic processes through complex data analysis and computer simulations. You work in close collaboration with theoretical physicists to test models and develop new insights. Your
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two-dimensional materials: spectroscopic investigations of two-dimensional semiconductors, measurements and analysis using linear and non-linear microscopy. The scientific work further includes
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materials: spectroscopic investigations of two-dimensional semiconductors, measurements and analysis using linear and non-linear microscopy. The scientific work further includes collaborations with national
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worldwide, taking on strategic responsibilities in the setup, operation, and coordination of experiments. Their strong contribution to data analysis, student supervision, and the dissemination of scientific
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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infrastructures. This will involve deploying IoT-enabled smart sensors with decentralized processing to stream high-frequency data into a BIM environment for immediate structural analysis. Advanced algo-rithms
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or dysfunction of these ion channels is associated with various diseases such as lysosomal storage disorders, cardiac arrhythmias and heart failure. Further information can be found on our homepage . The BMC is
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for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The MINFLUX and MINSTED concepts have unlocked the door to minimally invasive, low-light-level analysis of the structure and dynamics of macromolecules