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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
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and spectroscopy Construction and optimization of single-molecule microscopy setups Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis
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environment at one of our sites in Bremen, Lübeck, or Hannover self-determined work and the freedom to create new tasks work within an interdisciplinary team of software developers and image processing
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the fundamental understanding of how small-scale processes influence large-scale climate patterns. The group is expected to fully leverage a km-scale ICON model, capable of resolving storm systems and mesoscale
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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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applicants, who want to understand neuronal signal transmission and neuromodulatory processes on the cellular circuit level by using innovative state-of-the-art methods including advanced imaging techniques
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key role in gene regulation. By employing omics-based approaches, metabolite tracing, proximity-labelling, and advanced imaging techniques, this project offers a unique opportunity to: Explore how
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intelligence methods for data analysis, including image data processing present results through reports and presentations to scientific and clinical audiences perform heterogeneous data analysis in the context
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functionality and analyzing integrated safety mechanisms result in high simulation times. To better address these issues, a virtual prototype will be created. This prototype will significantly reduce simulation
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Funded by the German Research Foundation (DFG), Research Unit 5339 "AI-based Methodology for the Fast Maturation of Immature Manufacturing Processes" was established in 2023 at KIT and the