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research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle Analysis
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want to contribute to the bottom-up construction of synthetic cells? Are you excited about the application of AI tools to predict gene expression levels across a synthetic genome? Then join our team as a
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data-intensive applications. Researchers in this field design robust, scalable architectures and pipelines to transform raw data into reliable, accessible formats, leveraging techniques like real-time
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failure mechanisms. The performance of the developed methods will be evaluated using real operating data. In addition, it will be investigated how reliability and safety conditions can be taken into account
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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep