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formation and evolution; (c) computational astrophysics; (d) analysis of numerical simulations and large datasets. Candidates should demonstrate solid programming skills (e.g., Python, C/C++, or similar
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; (ii) image and data acquisition in experimental fluid mechanics, and the use of specialized software such as MatLab and LabView for image / data analysis and instrument control; and (iii) computational
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o calibration and/or data assimilation o satellite geodetic and/or Earth Observation (EO) data processing o meteorological/hydrological data processing and analysis Strong interest in collaborative
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quantitative data analysis. The student will gain hands-on experience in chromatin reconstitution, advanced singlemolecule force spectroscopy coupled with fluorescence microscopy, computational modelling, and
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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assault. We invite research proposals exploring gender-based violence at work with a mix of methods including documentary analysis (e.g., court reports, police reports, sexual harassment policies) and
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to maintain UK warfighting readiness in an increasingly dangerous and complex world. As MOD science and technology leaders, Dstl provides expert advice, analysis and capability across a wide range of
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applications for surface analysis, including the production of Digital Elevation Models (DEMs); Experience using AI/ML methods for data collection, analysis, and intelligence development; Experience developing
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research methods and research design. Demonstrated quantitative data-analysis skills (for example, in R or Stata). We are looking for someone with a demonstrated interest in studying the politics of violence
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis