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ecological theories to advance our understanding of ecosystem functions and their response to climate change. Job Description The ideal candidate is expected to be highly creative, have strong numerical and
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justice framework for anti-trafficking research and practice. The study focuses on stakeholder and survivor engagement in focus countries: the UK, South Africa, and Kenya. The study adopts a mixed-methods
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giants and icy moons. This will be achieved through a multi-method approach, combining rotating fluid mechanics experiments, numerical simulations, and theoretical analysis. As a key member of the team
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to packages in the area of geospatial data science. Evidence of innovation in research with high-level skills in numerical data analysis and presentation of data. A track record of publishing in reputable, peer
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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areas such as data analysis, statistical modeling, machine learning, numerical modeling, or remote sensing Preferred Qualifications A general understanding of ecosystem modeling or ocean circulation
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. Significant Advantage: Experience with AI safety concepts, interpretability methods, or a track record of publishing research in academic venues. We are seeking someone who can not only identify problems but
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) in weather forecasting and hydrological prediction. The Research Fellow will develop ML methods for postprocessing numerical ensemble weather forecasts over India to improve the skill of precipitation
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The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow to undertake a project to develop efficient theoretical, numerical and experimental
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for biomedical applications. Experimental expertise in advanced optical system design, structured beam generation, and characterization methods will be advantageous. Familiarity with laser pulse shaping