202 web-programmer-developer-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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travel behaviour data or urban mobility patterns Good German language skills (at least B2) Experience with collecting own data (e.g. questionnaires; measurements) Experience with developing networks with
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engaged in development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors
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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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develop predictive tools for mechanical failure. Our team is highly interdisciplinary and international, bringing together researchers with backgrounds in materials science, mechanics, and applied physics
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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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, biocompatibility or the ability to reach deep brain areas. To solve this problem, we developed Ultra-Flexible Tentacle Electrodes (UFTEs), consisting of fibers one order of magnitude smaller than hair (2.4 um x 7 um
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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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) on the acquisition, processing, and interpretation of satellite and drone data, as well as (2) on the development of operational applications for emerging intelligent earth observation technologies. Our researchers
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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