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Field
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
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) enriches people and their environments through transdisciplinary research, teaching, and outreach. We integrate analog and digital knowledge, tools, methods and creative processes from design, humanities
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management—are encouraged to apply. Methodological approaches are flexible and may include qualitative, quantitative, or mixed methods, depending on the research focus. Exemplary research topics include (but
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to apply: Please choose Electrical and Electronic Engineering Research Program and Control and Power Group, then indicate Professor Balarko Chaudhuri as a potential supervisor when making the application
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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viscous and elastic properties. These fluids are fundamental for a myriad of industrial processes (such as mixing of chemicals or cooling of microprocessors), however they are still not well understood due
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. The researcher will use mixed methods, including data from knowledge tests, attitudinal surveys, and focus groups to investigate how the tools function and how they can be improved. The researcher will also
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) Biffi G. and Tuveson DA. Diversity and Biology of Cancer-associated Fibroblasts. Physiol Rev (2021). 5) Biffi G, et al. IL1-Induced JAK/STAT Signaling Is Antagonized by TGFbeta to Shape CAF Heterogeneity
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on modelling and testing of new reactors with a view to optimising the best systems for mixing supercritical water (>378o C and 221 bar) with wastewater feed streams. This needs to generate residence times