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sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in
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Institute of Standards and Technology, The Department of Energy, and the National Aeronautics and Space Administration. Development and application of quantum sensors is an area of research in which
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-qualified biosensors for detecting molecular biosignatures during planetary exploration missions. The LMCOOL system uses integrated photonic circuits with asymmetric Mach-Zehnder Interferometer (aMZI) sensors
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are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we
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Interferometer (aMZI) sensors on silicon nitride platforms, enabling highly sensitive, label-free detection of biomolecules for astrobiological research. An essential component of the technology is chip
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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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grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations
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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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completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation
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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