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this project are how to do (real-time) integration of subjective and objective user data, design non-intrusive and fair motivational feedback strategies, optimisation of presenting cognitive tasks and self
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. This project investigates how such patterns can be designed systematically to make communication timing difficult for an external observer to predict, while maintaining closed-loop stability and using network
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responsible for the quality management and PA&S functions throughout the design, development, and operation of projects within the Directorate of Human and Robotic Exploration Programmes (HRE). As a Research
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manage the current developments in employment practices, technology, demography, and organizational structures. Our research is anchored in three interconnected pillars: work design, work relationships
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-material systems in modern manufacturing. The work focuses on plastics and metals for hybrid design and analysis studies. The project develops an integrated digital framework in the context of multi
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to reproduce over time. As our EngD trainee, you will design and validate a semi-automatic crack detection and classification framework based on the fusion of high-resolution colour and surface height data
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important role in connecting experimental MCS research with clinical outcomes in patients undergoing cardiothoracic surgery and/or treated for cardiogenic shock. You design and conduct laboratory-based
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the measurement and simulation strategies during the field campaigns, co-design the data management, but above all, analyse the measurement and simulation results to improve the understanding of microphysics
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requirements. Identifying suitable data sources such as the cancer registry, specifying the model along clinical, operational and organisational dimensions through participatory design, and building
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Are you interested in tackling the global plastic pollution crisis through science? Do you want to develop and improve forecasting models to support design and implementation of reduction measures