201 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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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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description SF6 is today the most important gas for high-voltage switchgear. Its global warming potential is 23‘500 times higher than that of CO2 and world-wide efforts are underway to develop and optimize
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to the practical supervision of undergraduate and Master’s students through assisting in laboratory courses and semester projects. As a Research Assistant, you will be expected to plan and conduct experiments
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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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Tethys Robotics develops innovative underwater robotic solutions for inspection & investigation operations in challenging conditions. We serve clients such as large asset operators and industrial
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at the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel invites exceptional candidates to apply for PhD and postdoctoral positions in pioneering projects developing synthetic
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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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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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, and remodel mechanical signals, and how these processes govern fundamental biological functions such as homeostasis, growth, differentiation, migration, development, and apoptosis. Despite major
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools