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prototypes for legal applications, with a strong emphasis on technical implementation and real-world deployment. Core responsibilities include: Developing and implementing AI systems for legal text processing
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limitations do not include references. The evaluation processes at UZH and its Faculty of Science follow the DORA recommendations for assessing research quality and impact. Applicants are thus asked to refrain
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farming systems, land management and erosion processes influence nutrient loading in rivers and lakes, as well as better identification of eutrophication hotspots across the EU. This PhD project will
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and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust
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transduction for cell line generation. • Perform metabolic perturbations and cell‑based assays to study antigen processing and presentation. • Conduct flow cytometry and fluorescence‑based assays. • Prepare
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energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic and
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Experience with high-performance or distributed computing environments Good understanding of meteorological processes and numerical weather prediction Interest in DevOps practices and sustainable software
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.