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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
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access and system logs using anomaly detection. Sensitive Data Exposure, by helping identify memorised data in finetuning settings, misconfigured access control, or leaks in RAG settings. Supply chain by
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conversion of natural and synthetic polymers, and/or catalysis; (4) command both spoken and written English at professional level; (5) be a good team player More Information Location: Kent Ridge Campus
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simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental
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focused on designing, developing, and controlling an avian-inspired robot capable of precise and agile flight in urban environments. This initiative merges advanced computational modeling, AI-driven control
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. The successful candidate will also be involved in a broad range of theory, development and empirical work to support the scientific objectives. This role also includes attending project meetings and working with
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
the applicable laws and regulations for government employees, including also the Act on Control of the Export of Strategic Goods, Services and Technology, etc. Candidates who, after assessment of the application
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behaviour change interventions. Your knowledge of health-related behaviour theories will be essential. You will have experience in recruitment, data collection, and thematic analysis, including focus group
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the research project - “LLM-based hybrid intelligence for UAV-assisted inspection and energy control in utility workshop”. Qualifications For the post of Research Fellow, applicants should have a doctoral degree
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computational simulations in the area of density functional theory (DFT). The role will focus on understanding and predicting the properties of novel functional materials, including surfaces and interfaces