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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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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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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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emission factors quantifying the emissions of non-polymeric fluorinated substances from the production processes of FPs. In this project, we want to (i) develop an in-depth technical understanding of typical
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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
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for airborne virus, antibiotic resistance genes, VOCs and PFAs. Investigations on electrode materials, manufacturing processes, signal amplification and modulation are underway. We strive to strengthen
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, and remodel mechanical signals, and how these processes govern fundamental biological functions such as homeostasis, growth, differentiation, migration, development, and apoptosis. Despite major
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communities, land managers, and fire professionals with knowledge and skills now before the threat becomes acute across the continent. FiRES aims to assist this process by learning from people’s embodied