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such as Prolific. Some knowledge of computational modelling and predictive analytics, such as cross-validation or evolutionary agent-based models. Residency requirements: This studentship is primarily aimed
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generation of social, computer-based, and cyber-physical systems that make a substantial contribution to the welfare of our society, for example, via embodied intelligent systems that are tailored to users
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Learning from Human Feedback (RLHF) will enable AI to learn and adapt based on real-time user interactions. The dynamic creation and configuration of AI agents will allow users to customise and deploy agents
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of
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short courses Browse by study area Business Creative industries Digital capability Education Engineering Health Justice Languages Law Leadership Science Transformation Need help deciding? Based on your
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and data-driven models of sarcomere assembly. This will involve mean-field models and agent-based simulations. Additionally, depending on your aptitude, you can analyze topological defects of smectic
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develop data-inspired and data-driven models of sarcomere assembly. This will involve mean-field models and agent-based simulations. Additionally, depending on your aptitude, you can analyze topological
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single industrial environmental burden of our generation. Disruptive innovations are required for alternative reduction processes that convert mineral ores into metals without today’s carbon-based methods
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of vaccines and antiviral agents. These studies often involve interdisciplinary collaboration combining virological, veterinary, pathological, and immunological expertise. Your tasks will include: • Preparing
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in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers