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Field
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that represents the region’s complex palaeogeographical development and depositional environments. Using this model, you will investigate infiltration and extratraction schemes, interactions between surface water
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the development of novel approaches for medical imaging. The central aim is to understand how acoustic perturbations interact with spin relaxation in the presence of small-scale magnetic-field inhomogeneities. We
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of plant–microbiome interactions, novel computational strategies for analysing ancient omics data, and candidate genes and pathways that can ultimately support the development of more resilient crops. Your
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development of a flow-based ATR-UV–Vis spectroscopy platform that follows the formation of porous or photoactive thin films in real time. By measuring both polarization directions, how molecular building blocks
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qualifications: Must-haves: A completed PhD (or a PhD close to completion) in health economics, development economics, economics, econometrics, or a closely related discipline. Strong analytical and quantitative
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applications, equivalent and efficient physics-based AI meta models, and corresponding model predictive control schemes will be validated based on the data collected. The development of the high fidelity models
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validation of gene-edited tomato plants with respect to plant growth and development and their ionome under optimal, natural and mineral-stress conditions. To establish a fruitful collaboration with
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such as health and wellbeing, sustainable living, learning and development, inclusive society, safe and healthy upbringing, and work and collaboration. If you would like to learn more about the Faculty
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, efficiency, and functionality. You will contribute to one of four complementary research directions: ALD for photonic integration: Development of functional dielectric coatings for III–V nanophotonic
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field settings and the resulting microbiome and crop phenotype data will feed back into model development. This gives you the opportunity to develop new AI methodology while seeing how model predictions