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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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Bioinformatics, Computing/Programming, or a related discipline. Experience in using PMNN, ESM2 and RFdiffusion would be an advantage. The appointee will work in collaboration with research teams focusing
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project - “The development of a dynamic pricing and forecasting restaurant revenue management platform”. He/She will be required to: (a) conduct data analysis and modelling; (b) facilitate
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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Assistant (two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling
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, and assessing the impact on disease progression. Develop relevant disease models to assess therapeutic efficacy of a specific treatment. Demonstrate understanding of the disease pathology for better
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duties as assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in
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in the field of large language models. Additionally, the appointee will be responsible for submitting grant proposals to various funding bodies. Furthermore, the appointee will have the opportunity
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sustainability assessment”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience in conducting research, and skills in AI for processing modelling
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, particularly in AI in construction management. Key areas of expertise may include, but are not limited to, digital project engineering and management, construction informatics, construction robots and automation