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Field
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of advancing algorithmic foundations in robotics. Lab maintenance, including equipment maintenance and ordering of supplies as needed. Participate/assist in manuscript writing for publication in scientific
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evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop knowledge graphs and multimodal embeddings for cancer patient digital twin construction. Lead
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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the performance of the above model and sensor fusion algorithm when considering different sensor parameters and configurations Work within specified research grants and projects Operate within area of specialism
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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate
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the prevalence and risk of modern slavery. There will be a focus on Bayesian nonparametric methods and practical development of MCMC algorithms that can be applied to data. Translating the project findings
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Digital Twin for electric vehicle applications . The role will focus on utilizing novel machine learning models, large language models, and data science algorithms to develop battery models, optimization
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communication techniques and systems: Design and develop novel signal processing algorithms and communication strategies for satellite systems, acquiring essential industry capabilities and skills. Collaborate
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Theoretic algorithms of defense, and how those can/should be modified to account for human attacker’s biases. To accomplish this goal, we study attacker’s behavior and create cognitive computational models