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of semiconductor devices. The aim is to predict these properties for arbitrarily large structures, at a DFT-level of accuracy. As a starting point, you will extend the large-scale equivariant GNNs we develop
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experience with multiple programming languages Experience with plugin-based architectures is a strong advantage Familiarity in geometry processing, meshes and/or point clouds is an advantage Familiarity with
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for multidrug resistant Mycobacterium tuberculosis (MDR-MTB). The aim is to develop and evaluate a simple, portable, and affordable device for diagnosing MDR-MTB at the point-of-care. This work is
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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proposal (max. 3 pages) on "Future of food processing for affordable, nutritious and more sustainable foods", addressing current challenges, key literature, and innovative approaches. CV with list
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, high signal stability, and resistance to biofouling during long-term operation. The PhD candidate will be co-hosted by the Human-centered Sensing Laboratory (Prof. Anreas Güntner) and the Laboratory
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collaboration interfaces for effective problem-solving and decision-making. In particular, we are interested in empowering humans by teaming them up with AI agents in co-adaptive processes. To support our
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on Microalgae and plant-based foods in Human Nutrition and Health. The Sustainable Food Processing group focuses on a system-oriented approach in food production via the consideration of the total value chain
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biomedical processes, particularly in complex or technically challenging settings. To address these questions, the lab develops and applies new methods for metabolomics, lipidomics, and ¹³C metabolic flux
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and reducing infrastructure and mobility disruptions. This project aims to support human expert forecasters by developing machine learning models and a related infrastructure, capable of processing