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ecohydrological modelling (Position 1) or large-scale hydrological data analytics (Position 2). The work will focus on advancing understanding of hydrological and water resource dynamics, with emphasis
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Energy Environment Water Research Centre (EEWRC) The Climate and Atmosphere Research Centre (CARE-C) The Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC) Considerable cross
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in Archaeology and Culture Research Centre (STARC) The Energy Environment Water Research Centre (EEWRC) The Climate and Atmosphere Research Centre (CARE-C) The Science and Technology Driven Policy and
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applied or fundamental research and publish the results in high-quality conferences and journals; Developing Computational Intelligence (e.g., Machine Learning and Optimization models) applications and
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, aiming to connect and strengthen the innovation ecosystems of the three Countries by streamlining the R&I between them to bolster the adoption of CFA, by coming up with new business models for the agrofood