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Field
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We are seeking to appoint a research fellow who will contribute to NTU’s mission of advancing cutting-edge research in AI security, especially LLM security and design of more powerful and robust AI
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qualify for work in senior academic positions. The start-up date is as soon as possible, preferably no later than December 2025, meaning that the applicant should have already been awarded their PhD degree
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, candidate must demonstrate that they meet the following essential criteria: Hold, or about to obtain, a PhD in Power Electronics, Electronic/Electrical Engineering or closely related discipline. Recent
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to fundamentally and radically advance our understanding of Natural and Artificial Intelligence. We seek candidates with demonstrated ability and creativity who study one or more of the following areas: Foundations
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researcher with a PhD in forest ecology or a related field, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in a multidisciplinary environment. You may
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tenable for up to 4-years. Applications are welcome from graduates of any university. Candidates will usually have completed their PhD, but must not have undertaken more than 3-years of postdoctoral work by
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control using deep learning. Implement and test new algorithms in actual robot platforms. Job Requirements: PhD in Electrical and Electronic Engineering or related field. Hands on research experiences in
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: • PhD (or strong industrial experience and a Master’s degree) in Control Engineering, Power Electronics, Embedded Systems, or closely related disciplines. • Proven experience in the design and
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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previously researching on terahertz spectroscopy and ion-exchange membranes. About You We are seeking a highly qualified individual with a PhD (or near completion) in in Electronic Engineering, Chemical