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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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. The aim is to develop strategies for potential applications in information technology and quantum technology. A cleanroom for component processing and a variety of modern analysis methods are available
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. The aim is to develop strategies for potential applications in information technology and quantum technology. A cleanroom for component processing and a variety of modern analysis methods are available
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for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
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PhD). Tasks: The successful candidate is required to conduct research on a topic in probability theory (e. g. stochastic processes / stochastic analysis) and its applications. You support the institute
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approaches to efficient analysis of the vast data amounts generated in the scattering experiments. For more information, visit our web page: https://www.soft-matter.uni-tuebingen.de/ We are currently looking
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based at DIGIT as well as the collection and analysis of requirements from existing partners. In addition, further partners are to be integrated into the network and new formats and pilot projects
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to frogs as it is in humans (Zoller et al., 2023). Using epignetic clock analysis, you will characterize cellular ageing and senescence in developing frog tissues using immunofluorescence microscopy. You
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-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
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chemical analysis of secondary plant substances and their reaction products using HPLC-MS and GC-MS identification of novel reaction products cell biological studies (e.g. cytotoxicity studies) analyzing and