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Field
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development at points of implementation across the Global South, from the 1950s to the 1990s. Uncovering the complex negotiations that remade international development projects at the point of implementation
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
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complex phylogenetic classification, and we aim to elucidate cases of conflict or cooperation as these arise when different TEs colonise the various niches of the genome, e.g. gene-rich regions
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
About the project: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution Supervisor: Prof. Scott Habershon, University of Warwick Protein folding is a dynamic, complex
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of high‑tech system design—such as the design of lithography machines—can already be automated, current design‑automation tools remain limited to specific domains or subsystems. Given the growing complexity
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of stopped and in-flight gamma rays. The complexity of the setup requires advanced data analysis and comparison with dedicated simulations. The candidate will play a central role in analysing and interpreting
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zone in a very complex manner and lead the modelling to an imperfect zone of assumptions. These complexities allow the researchers to use approximations for useful lifetime calculations. Based
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(both written and verbal) in English Ability to work in a team as well as independently Proactive attitude Ability to solve complex problems with adherence to strict deadlines As secondments and events
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finite-difference resolvent solver incorporating stabilising filters as well as a domain-decomposition strategy suitable for complex geometries, - Use efficient time-integration methods to compute
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broad outlook in geography, in the application of theoretical and methodological approaches of natural and social sciences to understand socio-spatial changes in designing integrative solutions to complex