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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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Center for Project-Based Learning. The successful candidate will contribute to research at the intersection of embedded machine learning, signal processing, and smart sensing systems, with applications in
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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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100%, Zurich, fixed-term The Membrane and Interfacial Science Lab in the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zürich designs materials and processes that enable more
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100%, Zurich, fixed-term The Membrane and Interfacial Science Lab in the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zürich designs materials and processes that enable more
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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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… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Your profile PhD degree in physics or similar natural science discipline, signal/image processing, or engineering Interest
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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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, 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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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