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, process mining, conformance checking, and token-based what-if analysis. Build and integrate LLM-enabled multi-agent components for expert elicitation, structured questioning, explanation, and knowledge
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with a good understanding of sensors and sensor systems. Strong analysis skills and a good understanding of sensors and vehicle systems and driving behaviours of these systems. Knowledge of the stakes
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the power system. Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system modeling and simulation Research experience with power system cyber-physical
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project works. Job Requirements: Have relevant knowledge in the areas of quantum key distribution (QKD) protocols, e.g., BB84, E91, MDI, TF, etc. If there is no prior experience, it is acceptable
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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stratification and circulation. The team includes an active sea-going oceanographic group, experts in remote sensing, numerical sea ice-ocean modellers and climate dynamicists, and is strongly motivated by
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that the candidate will contribute to scientific knowledge and outline its societal implications. Required qualifications master’s degree of 120 ECTS credits in Information Systems or another closely related areas
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-driven, knowledge-based agentic systems for automated alert triage and investigation in SOC environments, contributing to the AutoSOC platform Build explainable AI models that integrate planning, memory
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. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability
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statistical tests (e.g. moderation/mediation, hierarchical regression etc.) is preferred Good project management skills, with multi-tasking ability Academic writing skills A good publication track record