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About the CDT The UKRI AI Centre of Doctoral Training in Designing Responsible Natural Language Processing is dedicated to addressing the increasing necessity for an ethically grounded approach in
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overall or equivalent proficiency - English language requirements For enquiries about the application process, please email Emma Chorley: lifesci-rec@sussex.ac.uk Applicants are encouraged to make Informal
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good written and spoken English and must be able to collaborate effectively within the research group and externally. Appointment at Research Associate level is dependent on holding a PhD. If the
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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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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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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Start date: November 2025 This PhD is an exciting opportunity to expand knowledge and understanding in the applications of natural chitinous polymers for bacterial/viral prevention and biofilm
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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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limited to, low-carbon hydrogen production. Reaction engineering lies at the heart of such chemical conversions. We have recently shown (Nature Chemistry 11 (2019) 638-643 and video at http