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are essential for controlling the highly dynamic power flow. For pushing the efficiency and power density limits of these SSTs you will develop multi-physics models of transformers, which describe not only
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Dr Daniel A. Richards and Professor Andrew J. deMello, in the Institute for Chemical and Bioengineering at ETH Zürich, are searching for two postdoctoral researchers to develop a diagnostic device
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researchers / senior scientists in the emerging field for the development of nanoscale organic semiconductor optoelectronic devices. In these devices, the nanopatterned organic or halide perovskite
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G. M. Silva, within the group of Prof. Roman Stocker, and focuses on the development and deployment of a new‑generation underwater imaging device to transform drift studies in riverine ecosystems. It
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vision with technical expertise in hardware and software development. We investigate these questions on a number of real-world robots such as the Unitree G1 humanoid, Stretch 3, and drones. For details
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development, validation, and safe integration of locally hosted LLMs for automated coding of pediatric diagnoses from electronic health records (EHRs), with the goal of enhancing research capabilities and
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of machine learning, AI, and cancer genomics. Our lab develops novel machine learning methods to understand biological systems and cancer, with a strong focus on genomics and translational impact. We work in
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together to develop solutions for the global challenges of today and tomorrow.
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at devising innovative testing approaches to investigate the failure of elastomers. The goal of the PhD project is to develop cutting edge experimental procedures involving X-Ray computed tomography (CT
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80%, Zurich, fixed-term The Laboratory of Molecular Medicine, led by Prof. Yohei Yamauchi, is developing the ViViD-AFM V2.0—a next-generation nano-imaging system. This project focuses