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Our offer We offer a fully funded 2 year post-doc position at Empa to conduct cutting-edge research in an inderdisciplinary field of optoelectronics. Applications are open immediately with an expected
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about them remains surprisingly difficult. Our research addresses this challenge in the following domains: Designing expressive languages for specifying network behavior Developing verification techniques
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to the mathematics of plasmas, with a focus on kinetic theory and PDEs. - Specific topics include stability, long-time behaviour, and mathematical properties of magnetised plasma models (such as magnetized
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collaborative projects Motivated, proactive, and enthusiastic mindset Our offer We offer a fully funded 2 year post-doc position at Empa to conduct cutting-edge research in an inderdisciplinary field
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an interdisciplinary team. Your tasks Conduct physical vapor deposition experiments using advanced PVD processes such as synchronized HiPIMS Perform in-depth materials characterization and surface analysis Apply and
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Conduct physical vapor deposition experiments using advanced PVD processes such as synchronized HiPIMS Perform in-depth materials characterization and surface analysis Apply and improve high-throughput
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research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body
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of an optoelectronic implant for bladder dysfunction in rodent models Collect and analyse electrophysiological and behavioural data Histologically evaluate tissue following chronic implantation Work independently and as
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motor control for bioinspired robotics. The main focus of this project is how neural circuits in the motor system of the fly, Drosophila melanogaster, orchestrate limb movements and autonomous behavior in
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for bioinspired robotics. The main focus of this project is how neural circuits in the motor system of the fly, Drosophila melanogaster, orchestrate limb movements and autonomous behavior in complex environments