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. Qualification and Experience: You have a degree (Diploma, Master's) in physics, nuclear physics, radiochemistry, or a related field. Experience in operating complex experimental setups and using data analysis
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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architectures, capable of capturing the structure of complex, high-resolution NMR spectra – analogous to how language models such as ChatGPT learn the structure of human language. One of the primary goals is to
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. However, how insects perceive, discriminate, and process the biological information encoded in CHC profiles remains poorly understood. PhD Position: The PhD candidate will investigate the chemoreception
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your research at conferences, workshops, and through scientific publications. Your profile: ▪ You hold an MSc degree in physics, engineering, or computer science. ▪ You are very experienced in Python
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to the computational complexity of climate models, these will be replaced by physics-informed deep learning surrogates in the aforementioned model coupling. The project will initially focus on one main application
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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Physarum polycephalum is renowned for solving complex tasks despite its simple make-up consisting of only one giant cell that harbors millions of cell nuclei. You will investigate the role of nuclei as