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regulatory networks, cell behaviour, and morphology during this process. By examining species across evolutionary scales, we aim to uncover the mechanisms underlying morphological evolution and the general
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position as Research Associate / PhD Student (m/f/x) in Theoretical Biological Physics (Modeling sarcomere self-assembly) (subject to personal qualification employees are remunerated according to salary
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funding opportunities within the university PhD students receive either a scholarship or a regular salary. Academic admission requirements Before starting the application process, we recommend that you have
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/ PhD Student (m/f/x) in Theoretical Biological Physics (Modeling sarcomere self-assembly) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting as
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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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Purkinje cells affects information processing in the thalamo-cortical network. Perform experiments in cerebellar organotypic slice cultures using GCaMP6-based calcium imaging and chemogenetics. Perform
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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is
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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
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. However, the transcriptional regulation of this process remains is not fully understood due to the complexity of crop plants as models for molecular and imaging studies. This DFG-supported project aims
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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