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Responsibilities: Explore the frontiers of intelligent sensing by advancing cutting-edge theories and pioneering transformative technologies. Integrate wireless sensing with Large Language Models (LLMs) to pioneer
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of programming languages and interest in the implementation of algorithms relevant to the project The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We
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for semiconductor lighting, displays, and quantum optoelectronics. Demonstrated ability to publish in high-impact journals and present at international conferences. Excellent written and oral communication skills
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resilient communication protocols, leveraging their expertise in system security and large language models (LLMs). The role includes collaborative research with leading international institutions and
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Requirements: PhD degree in physics, engineering or related field. Familiarity with electrodynamics and electromagnetism. Good written and oral communication skills. Proficiency in scientific programming e.g., C
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community. Requirement: PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like
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in Python, R, or similar programming languages; • Experience with network analysis, process mining, and time-series data analysis is a plus • Strong analytical, problem-solving, and communication
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project titled “Toward Cognitive Digital Twin as A Unified Platform for Smart Cities: Governance, Sustainability and Applications”, in collaboration with ITB, Bandung, Indonesia under the INSPIRASI program
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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preferred. A track record of publication in reputable conferences or journals is a plus. Proficiency in programming languages relevant to algorithm implementation is desirable. Strong analytical thinking