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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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learning models (i.e. keeping an eye on the system’s "brain" to quickly spot when it starts to struggle or behave unexpectedly). Our goal is to create tools that continuously evaluate the performance
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energy projects. About 2XE 2XE is an award-winning South Australian consultancy committed to guiding companies towards sustainable growth and achieving net-zero emissions. Leveraging a robust blend of
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circuit design (RMIT). Project 2.2. Optical quantum computing (University of Queensland). Project 2.3. Quantum tools (RMIT and/or University of Queensland). Project 3.1. Laser development (University of
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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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Learning (AIML). This PhD project will contribute to the AAGI HDR program where there will be an opportunity to grow your collaborative research within a vibrant network of national and international AAGI
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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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to extensive networks through the Westpac 100 Scholars Network. Eligibility criteria Scholarship applicants must: Be an Australian citizen or permanent resident Have completed your first undergraduate degree in
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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