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. Empa is a research institution of the ETH Domain. Our passion lies in materials science and technology, and at the Urban Energy Systems Laboratory (UESL), we develop strategies and methods to support the
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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. Our passion lies in materials science and technology, and at the Urban Energy Systems Laboratory (UESL), we develop strategies and methods to support the creation of decarbonized, resilient, and
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. The performance of such batteries hinges on the solid booster formulation, morphology, and the efficiency of charge transfer between mediator and solid under continuous flow. Your tasks Your task is to develop
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, morphology, and the efficiency of charge transfer between mediator and solid under continuous flow. Postdoc position on redox-targeted flow batteries Your tasks Your task is to develop solid booster
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, you will be encouraged to develop independent ideas, propose new concepts, and test them experimentally and/or computationally. The role is ideally suited to strengthen your pre-existing expertise and
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to develop image processing pipelines and models for the automated evaluation of 3D data sets towards answering clinical research questions. The project is highly interdisciplinary and is carried out in close
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of catalysts, electrodes, and ionomer membranes with high time resolution, operando x-ray measurements. Develop electrode architecture and catalyst/electrode modification strategies for enhanced durability