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to maximise early outbreak detection. Active intervention: developing decision-making algorithms that recommend effective public-health interventions. Reinforcement learning (RL) provides a natural framework
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looking for researchers who can help design state-of-the-art swarm hardware for city deployments, cognition using edge-AI and perception, swarm algorithms for city-scale coordination, and interfaces
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development and eager to contribute to a pioneering academic venture. You can apply for the role at the below link - https://emeritus.darwinbox.in/ms/candidate/careers/a691c12f9b618a To complete your
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are proactive about professional development and committed to advancing global academic standards. To apply for the role please follow the below link. https://emeritus.darwinbox.in/ms/candidate/careers
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development and eager to contribute to a pioneering academic venture. You can apply for the role at the below link - https://emeritus.darwinbox.in/ms/candidate/careers/a691c12f9b618a If you have any queries
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into a tool that can really benefit the community. You will lead on the development of algorithms and prototype tools for reasoning about programs with bugs based on two-sided type systems. In particular
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to prepare the role holder to take on more responsibilities in the future. The role holder will: Implement bespoke, or use off-the-shelf, finite element models on variable geometry and variable