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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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-critical decisions in real time. These systems rely heavily on sensor data (e.g., GPS, pressure transducers, image processors), making them vulnerable to stealthy threats like False Data Injection (FDI) and
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). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system
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, such as household decision-making, willingness to invest, adoption of renewable energy technologies, and social acceptance of innovations. The goal of the PhD is to develop validation methods, best
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selection criteria will be used by academic schools to help them make a decision on your application.
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and/or interest in the following relevant fields: artificial intelligence and cybersecurity. The candidate will have the opportunity to work on a collaborative project with a leading industry in
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prediction model for stage racing that can be used to inform live race decisions based on emerging events. The successful candidate will also spend time embedded in a professional cycling environment and gain
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research and bioinformatics Ability to work independently, team spirit, and enthusiasm for research Personal commitment and determination for the project We offer A unique, cutting-edge research project in a
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of complex metagenomic data. You will also become proficient in lifecycle carbon accounting and data-driven decision-making, all mapped to the Researcher Development Framework at Cranfield University. Regular
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23.07.2025 Application deadline: 08.08.2025 The Institute for Theoretical Physics at the University Tübingen is looking to fill a PhD Position in Quantum Information Theory (m/f/d, E13 TV-L, 50