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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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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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students to study the preconditions influencing the formation of national hydrogen strategies, the mechanisms influencing market adoption of Hydrogen for Net-Zero Initiative ( ) technologies, and the
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sector. Opportunity to strengthen the professional network within the sustainability, AI, and building sectors. Eligibility: The PhD student must be: within the first 18 months of their candidature
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policy Applying research skills in industrial settings Developing networks in government Working with leading experts in the field The selected applicant, their supervisor, and the partner organisation's