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offer an inspiring research setting at one of Europe’s leading technical universities, with access to unique test facilities and strong international collaboration networks. This position provides
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international collaboration networks. This position provides the opportunity to contribute directly to the energy transition and to the development of sustainable, scalable heating solutions for the built
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fabrication of bioelectrical platforms with clinical translation as the ultimate goal. Using unique bioelectrical (physical and chemical) sensors and actuators will allow us to tackle grand biomedical
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and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising
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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
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fabrication of bioelectrical platforms with clinical translation as the ultimate goal. Using unique bioelectrical (physical and chemical) sensors and actuators will allow us to tackle grand biomedical
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composite propellers. Competence in the measurement and analysis of guided waves. Experience with embedded piezoelectric sensors in composites. Strong mathematical background and experience with numerical
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, and optimize sensor/microsensor responses. This interdisciplinary approach is essential to understand the changes of thermal/radiative properties by correlating them with the evolution of chemical and
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synergy with another postdoc working on the same project, whose focus is on the development, demonstration and application of the functionalized quartz resonators integrated into a sensor prototype. If