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Field
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understand, explain and advance society and environment we live in. Your role Conduct research and prepare a doctoral thesis in metabolic network modelling and computational epigenomics Develop novel methods
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order to better understand, explain and advance society and environment we live in. Your role The PhD student will develop and apply computational multiscale models to investigate brain energy metabolism
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that the developed methods are robust, adaptable, and grounded in real-world practice. You will apply advanced techniques such as agent-based modelling, quantitative resilience assessment, and risk analysis to
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-based modelling, quantitative resilience assessment, and risk analysis to simulate and optimise resilience strategies. The framework will be tested and refined through pilot studies in collaboration with
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project seeks to turn a problem into an opportunity, by developing digital tools and Life Cycle Assessment (LCA) models to (1) minimize waste and (2) accelerate circularity and sustainable resource use in
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) with cross-modal modelling of time series and sensor data. The project will also explore signal-to-text generation for human-readable explanations of complex sensor outputs and mechanistic
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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bottleneck) with cross-modal modelling of time series and sensor data. The project will also explore signal-to-text generation for human-readable explanations of complex sensor outputs and mechanistic
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explanations of complex sensor outputs and mechanistic interpretability for multimodal foundation models. Key responsibilities Perform PhD research on the above topics and publish in top venues; Collaborate
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that generate more energy than they consume and carbon-neutral heating and cooling is a core element of their design. The design and realization of PEDs involves (complex interactions between) societal, technical