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elements with controllable stiffness. The project will involve analytical and computational modelling, as well as designing and conducting lab experiments. Key questions include: How to create materials
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for effective water resource management, climate modeling, and agricultural planning. Despite its importance, accurately monitoring evaporation remains a major scientific challenge due to the complexity
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microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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, and sustainable components. However, ensuring consistent quality in AM-based remanufacturing remains a critical challenge. The process involves complex, nonlinear, and partially observable dynamics, and
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, integrating AM into supply chains demands new models and methods. In this PhD project, you will: develop dynamic supply chain design models that enable the repositioning of AM equipment based on Defence
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the chemical structure alone. Once established, we will expand the self-driving labs to measure more complex properties such as foaming, phase separation or particle formation, and fine-tune our AI models. In
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repaired, reused, or discarded requires sophisticated condition assessment and decision-making capabilities. This PhD project tackles a critical challenge: how to develop robust machine learning models
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takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and