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following cycles caused by changes in chemistry and hydrogen bond donor (HBD) composition. DES also exhibits poor chemical stability at higher operating conditions, resulting in solvent loss. Furthermore
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of these models and quickly detect any decline or unexpected behaviour. The system will be designed to recognise when it encounters unfamiliar conditions—whether these involve unusual appearances, shapes
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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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tax exempt, subject to Taxation Office approval. Details of any terms and/or benefits can be found in the attached Conditions of Award/Rules. Enquiries: Contact Person: Simon Holford School/Discipline
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advances in process-based crop models such as APSIM, their integration often remains limited. This project proposes to get more out of on-farm data streams and process models through their more formal
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their final semester of an Honours degree. Stipend: The scholarship will be for 3.5 years and has a stipend payment of $34,210 per annum (indexed annually). Terms and conditions of this scholarship will be
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in Physics (1956). Eligibility To be eligible, candidates must be: An Australian citizen, Australian permanent resident, New Zealand citizen, Permanent Humanitarian visa holder or international student