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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a PhD student: New Deep Learning - based Framework for Energy Modelling: Combination
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, studying health-related (mis-)information on social media and its impact on young adults. The position includes international research collaboration, methodological training, and a supportive work
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actual stress of helicopter components using a data-based as well as a physics-based approach. In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed in
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technology development. 2) Single-cell NMR spectroscopy. Our group aims to develop NV-based NMR spectroscopy on the single-cell level [2, 3] within an ERC starting grant. In order to achieve the necessary
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RAICAM aims to train a cohort of 10 PhD students to work on the next generation of mobile robots for inspection and maintenance of industrial facilities. RAICAM will develop a multi-domain, multi-agent
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to them. For this purpose, geometry-driven AI-based methods are to be researched and developed in order to be able to automatically generate the corresponding process steps and parameters using CAD design
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to characterize network-wide interventions, like reallocating road space or travel demand management schemes. Second, to develop an MFD-based traffic simulation linked to the agent-based simulation environment
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to develop a methodology for constructing 3D models Based on diverse details provided in the different kinds of 2D drawing views. Developing such a methodology requires the identification of drawing
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, and cohort-based human studies to explore how pollutant exposure influences metabolism, food preferences, and overall health. The successful candidate will focus on the biophysical analysis of receptor