29 development-"https:"-"https:"-"https:"-"Dana-Farber-Cancer-Institute" positions at Empa
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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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laboratory at Empa. The group focuses on developing novel reactor and process concepts along the value chain of carbon capture and utilization, and on integrating them into a net-zero energy system. The work
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. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding structural behaviour in materials science. We focus on the evaluation
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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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. Empa is a research institution of the ETH Domain. The Laboratory for Building Energy Materials and Components develops advanced and/or low eco-impact, porous materials for insulation, sorption, and
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. Empa is a research institution of the ETH Domain. Within our focus research Digital Health Solutions, we develop technologies for continuous long-term monitoring of individuals. At the Biomimetic
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of laboratory technicians specializing in chemistry is also based in the analytical center. Your tasks Development of a measurement cell for the online detection of transition metal ions, fluorides, and
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tasks You will work on projects related to the future of sustainable asphalt pavements, including binder aging reduction, development of alternative binders, developing bitumen emulsions, and working
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project aims to develop hydroborate-based all-solid-state batteries. A central objective is to achieve a deep, mechanistic understanding of the processes that govern electrochemical performance and cycling
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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