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biometry and statistical analysis who is keen to join a collaborative network of facilities with cutting-edge phenotyping infrastructure. You thrive in collaborative environments and enjoy solving complex
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. The objective of this project is to explore how Physics-Informed Neural Networks (PINNs) could enhance the detection, classification, and interpretation of weak and noisy signals in complex environments
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such that non-credible contingency event impacts can be assessed presents many challenges including: Redispatch of network to reflect future forecast of demand and generation Modelling of future network
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contract| Full time The Australian Plant Phenomics Network (APPN) was established in 2009 under the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) to develop a
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prediction methods often rely on correlations between genetic markers and phenotypic traits, which can limit their effectiveness in complex plant breeding scenarios. This project will explore the use of causal