210 web-developer-"https:"-"https:"-"https:"-"Newcastle-University" Fellowship positions in Singapore
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, textile engineering, and energy harvesting physics to join our multidisciplinary team developing next-generation knitted wearables. The successful candidate will lead the design, prototyping, and
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academic activities such as timetabling, faculty and guest lecturer coordination, student engagement, and reporting Contribute to curriculum development and delivery of teaching across multiple formats (e.g
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field studies Develop and validate instruments for psychological and behavioural assessment in urban settings Conduct data analysis using relevant statistical, spatial, or computational tools with
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supervise and train students and junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity to explore his/her own interests across functions
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under the supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at developing generative AI tools
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to behavioural and population health data relevant to Singapore’s diverse communities. Develop predictive and explainable machine learning/deep learning/genAI models using multimodal cross-section and longitudinal
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. This position focuses on the development and application of large language models (LLMs) for advancing food informatics, food bioactives research, and sustainable food innovation. The selected fellow
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research strategic development and securing funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of
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functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Computational and machine learning methods are developed
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progress. Ability and willingness to work some flexible hours. Extensive experience in large-scale pre-training of large language model. Experienced in developing machine learning algorithms and large