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the latter leading to emergence of abundant novel genotypes. Unlike Pgt, Pst has not been observed to infect B. vulgaris in Europe, likely due to a current mismatch in timing between spore germination and
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. Modeling the energy consumption of Smart Cities at different granularity levels (entire city, neighbor- hoods, blocks, buildings). Analyzing and performing benchmark tests on data collected by industrial and
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(Beraza and Rushworth) whose work have a strong translational aim. This team will train the PhD student in a series of preclinical in vivo models; molecular biology and immunology methodologies; and complex
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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1-dimensional ocean-ice model. You will identify any long-term changes in ocean CO2 uptake along the Antarctic Peninsula using data from Rothera, SOCAT (www.socat.info) and mapped CO2 products, while
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clinicians as well as scientists from UKSHA, we have set up a unique facility to develop radiotracers (conjugating radiometals with different targeted molecules) and to evaluate them biologically in vitro and
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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the lead on the modelling side. Your Role Develop and analyse spatial percolation models and related techniques to explore how pathogens spread—or fail to spread—across plant communities with different
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clinicians as well as scientists from UKSHA, we have set up a unique facility to develop radiotracers (conjugating radiometals with different targeted molecules) and to evaluate them biologically in vitro and
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will computationally explore catalyst materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models