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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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dynamics of plasmid copy number in pathogenic bacteria, with a strong focus on infection biology and evolution of antibiotic resistance. The goals for this project are i) to better understand the role
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(wind) data. The PhD position entails a combination of theoretical and practical developments, and the candidate will work with simulations, programming, and data processing. The methodologies applied by
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the areas of family law and particularly comparative family law. Additional language skills are considered a bonus. The PhD will be supervised by Prof Jens Scherpe, the Director of NorFam. The successful
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published (not essential), to Prof Reza Hoseinnezhad (rezah@rmit.edu.au ). Please send your latest CV and full transcript of bachelor and master degrees (if applicable) along with a copy of any papers you may
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in analytical theory from Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research
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identity studies. Under the joint supervision of Dr Morana Lukac and Dr Suzanne Manizza Roszak, with Prof Remco Knooihuizen as the professor of record, the successful candidate will develop their own
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diseases, and how these influence, or are influenced by, labor force participation and income. In addition, you will develop simulation models to predict how different policies could reduce the disease
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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging