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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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Empa within the framework of SURPASS are as follows: Volumetric prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing
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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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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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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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prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing mechanisms with Fe-SMA fibres, including activation, recovery stress
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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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part of an SNSF Ambizione grant led by Dr. Livius F. Muff, hosted in the group of Dr. Luciano Boesel at Empa. The work will primarily be carried out at Empa St.Gallen under the direct supervision of Dr
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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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(three years, with the possibility of extension for one additional year) at Empa St. Gallen in two research groups (Bio–Nano Assembly and Cell-/Tissue Materials Interactions), which are part of