11 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions at ETH Zürich
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interpretable alternative in modelling to the black-box approach of neural networks. Job description The selected candidate will work on the furhter development of spectral submanifold (SSM) methods, aiming
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Research Infrastructure? No Offer Description PhD Researcher in Trustworthy and Human-Centred AI Development The KOF Swiss Economic Institute at the ETH Zurich is the leading institute for applied research
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description Develop skills in atmospheric chemistry, global modeling, and data analysis of field observations. Have opportunities to develop scientific communication skills through presentations at conferences
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candidate to join an interdisciplinary Future Health Technologies (FHT) research programme at the forefront of agentic AI in healthcare. The project aims to design, develop, and evaluate AI-driven coaching
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to investigate electromagnetic wave propagation in time-varying THz waveguides. Job description Develop numerical simulation frameworks for time-varying electromagnetic systems, modeling ultrafast refractive-index
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safety. Researchers develop and apply quantitative chemical, in vitro, and computational approaches to address problems in Toxicology. Project background We develop and apply bioanalysis approaches to map
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), is internationally recognized for its pioneering research in radiopharmaceutical chemistry, and targeted radionuclide therapy. The research group of Prof. Roger Schibli develops innovative
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to develop a process-based framework for understanding when freezing promotes carbon release, carbon storage, or both. Job description Lead and execute controlled cryogenic laboratory experiments using
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students to join a newly funded LOOP Zurich Flagship Project focused on advancing a breakthrough technology to clinic for non-invasive targeted drug delivery to the brain. Our laboratory recently developed a
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macroeconomics and political economy The dissertation topic will be developed jointly with the supervisory team. We aim to identify a project that connects with the doctoral researcher’s interests, experience and