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, including deep neural networks and physics-informed neural networks, to analyse large datasets from gyrokinetic and fluid simulations of plasma turbulence Develop and train reduced-order models that capture
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salts and ionic liquid by collaborating with a growing research team while conducting their own investigations. The role holder will have the opportunity to contribute to the development of funding
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enable real world application. Fellows will gain hands-on exposure to translational science, drug discovery, and technology development, with opportunities to contribute to intellectual property
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cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School
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recipients and adults aged over 65 · lead and contribute to the development of study protocols, ethics applications, data collection methodologies, and statistical analysis plans for clinical
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(FANS) is one of Europe’s largest research groups and one of the few teams in the world bringing together leading experts in brain development and pro and antisocial behaviours. We believe it is
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charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led project brings together
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plant production techniques. Alongside identifying and validating propagation techniques and peat-free alternatives, we will develop new AI search tools and explore cultural shifts in horticulture
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of wireless electric vehicle charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led
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assist the project leader in the research project – “Smart Holistic Insurance Enhancement using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning