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analysis using StarCCM+/OpenFoam, conduct the experimental test using our cavitation tunnel, the combined wind, wave and current tank and the research vessel, and develop a novel maritime system for clean
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include simulation and control implementation, data analysis, and knowledge dissemination through technical documentation and stakeholder workshops. This is a full-time, fixed-term role starting 1 September
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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testing, and (typically via external collaboration) inorganic materials characterisation (diffraction, tomography, microscopy, spectroscopy, surface area and porosity analysis etc). It is only fair
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the context of computing Familiarity with research tools and methods, including statistics platforms like R and/or thematic analysis Knowledge of user-centred design and research methods involving human
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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hold, or be close to completion of, a relevant PhD/DPhil, have relevant experience in the integration of social science methods and ethical analysis and possess sufficient specialist knowledge of ethics
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officially awarded their PhD will be appointed as Research Assistant. Expertise in geospatial data analysis, including remote sensing Expertise in cloud physics, preferably cirrus clouds Aircraft performance
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. Experience in next-generation sequencing analysis and FACS is desirable. The Research Assistant will be encouraged to contribute ideas during team discussions and may support post-graduate students (MSc/MPhil