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candidates due to the competitive nature of this scheme. The programme is open to all non-Singaporean applicants (home and overseas). To ensure the diversity of students studying at A*STAR institutions, A*STAR
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production-grade system that integrates Vision Transformers for visual deepfakes, advanced Natural Language Processing (NLP) models for phishing detection, and a dedicated Explainable AI (XAI) layer
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The successful candidates should preferably have a master’s degree in chemistry, or chemical-, process-, energy- engineering or related fields. Fluent written and verbal communication skills in English are
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device nanofabrication and clean room processing of 2D materials (required). Skill sets of handling low-temperature and ultra-high vacuum systems, such as molecular beam epitaxy (MBE) or STM experience
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tools is considered as an advantage Understanding of building design, structures, and material in the Finnish context Capability for working with Building Information Models Fluent English is a must
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weather-related extremes, much of it by our team, however we must also consider their cyber risks. Network modelling will be used to simulate a range of different cyber and natural hazards threats
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is jointly funded by EPSRC and the Department for Transport. When transport infrastructure suffers damage or disruption from events such as natural hazards (flooding, high winds) or planned maintenance