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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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, 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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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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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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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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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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to a deeply decarbonized and reliable energy system. The Postdoctoral Fellow will work closely with the project directors and collaborators to develop data-driven and economically grounded frameworks
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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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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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
drugs, including biological therapeutics and generic drugs. This work covers more than just medicines. Research Project: This research project aims to develop quantitative structure-activity relationship