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response incentive arrangements with the national electricity market (NEM). Currently cost recovery for regulation frequency services is based on the causer pays process, which allocates the cost of sourcing
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models at many scales including electron dynamics, soft-matter physics, materials-biomolecules interaction and device physics exploiting the collaboration with a multidisciplinary team of theoreticians and
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. This position will focus on one key stream: understanding and improving the interaction between EVs and roadside barriers. This will involve: Modelling EV crash dynamics with conventional and SRB barriers
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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samples. -Applying Gross's (2015) process model of emotion regulation to the understanding of ADHD. -Exploring the definition/structure of ADHD statistically, and whether emotion regulation problems should
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modelling of atomic collision processes. Student type Future Students Faculties and centres Faculty of Science & Engineering Science courses Course type Higher Degree by Research Citizenship Australian
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responders are at increased risk of poor mental health outcomes. If we achieve similar findings to the university study, this model will reduce suicidal intentions and behaviours in first responders by 42%. It
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mechanisms and transformer models. Qualifications Bachelor’s degree with First Class Honours (or equivalent) and/or a research master’s degree in computer science, AI or Computer Vision; or an equivalent
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role supports the development of a novel nanophotonic therapy to treat drug-resistant hypertension—a major and growing global health challenge. The successful candidate will focus on synthesising