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these findings should be used to design AI agents that actually warrant our trust. You can find more information about our work and approach at the Project Website: https://research.kent.ac.uk/trust-moral-machines
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or as soon as possible thereafter. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend of at least £20,780 for 3.5 years full-time, or pro rata for part-time
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). Experience in numerical modeling and data analysis. An interest in groundwater contamination, risk assessment, and sustainability. Programming experience (Python, MATLAB, or similar) is desirable but not
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. The Faculty of Population Health Sciences has established itself as UCL’s largest research-based faculty, encompassing eight institutes. More information available at www.ucl.ac.uk/population-health-sciences
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confirmation by STFC. The studentship will only fully fund those applicants who are eligible for Home fees with relevant qualifications. Applicants normally required to cover International fees will have to
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of developing a computational model to simulate hydro-sedimentary dynamics and morphology between restored patches to explore conditions favourable for restoration. Validated with data on vegetation cover and
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, chemistry, and data science to understand plant macronutrient sequestration and seasonal nutrient cycling in riverine peat and sediment. It will compare aquatic biodiversity and nutrient transfer between bed
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, efficiency, and the optimisation of material, energy, and waste flows. The main tasks include: 1. Developing Digital Twins: Using data from other work packages, we will create digital twins (DTs) for waste
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for capturing material property and gas transport data, gather data on these materials and subsequently build up an understanding of the relationships between the material properties and the solubility
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conference presentations. Funding This is industry funded project, funded by two big aerospace primes. Funding will cover tuition fees, plus a stipend based upon the current Research Council rate of £20,780