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coordinated control of e-vessel microgrid of multiple energy sources considering cost, carbon, and operation constraints. Perform HIL/real-time simulation studies/experiments with EMS controller for various
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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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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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the values of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research into trust technologies testing – translating algorithms, tools, and frameworks into working
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reputable university. Strong communication skills in the English language Passionate in teaching electrical/computer engineering concepts and skills to the students. Proficient in multiple programming
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university. Strong communication skills in the English language Passionate in teaching electrical/computer engineering concepts and skills to the students. Proficient in multiple programming languages