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components to automate experiments and enable autonomous experiments The focus of this position is to use advanced PVD processes to develop state-of-the art thin films, such as piezoelectric and ferroelectric
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enhancement of near-infrared (NIR)-emitting organic light-emitting devices (OLEDs) and to advance the understanding and performance of next-generation NIR optoelectronic devices.You will become part of a strong
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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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with the mediator solution while maintaining mechanical stability, and characterize the thermal and chemical stability of components and formulations. You will apply in-situ diagnostics, in particular in
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enhancement of near-infrared (NIR)-emitting organic light-emitting devices (OLEDs) and to advance the understanding and performance of next-generation NIR optoelectronic devices.You will become part of a strong
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solution while maintaining mechanical stability, and characterize the thermal and chemical stability of components and formulations. You will apply in-situ diagnostics, in particular in-flow UV-Vis
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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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direct access to state-of-the-art research infrastructure and equipment. As part of an experienced and multidisciplinary project team with strong national and international collaborations, you will receive
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sciences. The PostDoc research will be part of a multi-center research project on applying and combining multi-modal 2D and 3D imaging methods for understanding metastasis and tumor deposit formation in
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, using different fabrication methods. This postdoc position is part of an international collaborative project involving several academic and industrial partners. Your profile We are looking for a highly