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Field
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of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory to real life, while
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work upon. Suggested reading to explore this line of research further: Kitto, K., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory
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the theoretical and computational mechanics of shell structures, with a focus on extending these models to incorporate coupling with electromagnetic theory. This position is part of an interdisciplinary effort to
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
must be able to use a combination of numerical techniques and analytic perturbation theory to model more accurately the ringdown phase of black hole mergers, determining the non-linear contributions
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theory-focused, the position encourages engagement with experimental partners, including those in industry. The project will support research visits and joint activities with these collaborators
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., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory. British Journal of Educational Technology, 54(5), 1095-1124. Swist, T., Gulson, K
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academic publications, preferably in top tier peer-reviewed journals; - experience with theory driven research with a clear eye for practical implications; - a clear interest in collaborative
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best and work that relates to the topics, theories, geographical focus and/or methodologies of this project. Co-authored publications are allowed but not recommended. Note that the maximum file size
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similar length). Please choose your publications based on two combined criteria: work that you consider among your best and work that relates to the topics, theories, geographical focus and/or methodologies
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to organise working arrangements that suite your individual needs. We enjoy diversity of thought, ideas, and experience within the lab and approach our work with the same mindset. All of our data and code is