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Field
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processing, mining, chemical or geological engineering, or a PhD in a related field with mining/mineral processing experience. Knowledge of process mineralogy, froth flotation through past research, coursework
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models for the design of electrolysers. Perform AI-Driven design of novel flow fields for PCECs. Draft and submit high-impact journal publications based on the novel findings of the research Prepare patent
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wind propulsion devices. The work will focus on data-driven modelling, routing optimization, and control strategies for wind-assisted vessels. Relevant research topics include voyage optimization under
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tomography, with numerical simulations informed by microstructural data. The successful candidate will work at the interface between experiments, modelling, and data-driven methods. Particular emphasis will be
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The AI4X Postdoctoral Fellowship supports outstanding early-career researchers who leverage Artificial Intelligence (AI) to accelerate breakthroughs across science, technology, engineering, and
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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, committed prospective plant and soil modellers to contribute to a multi-partner international project ‘Climate-resilient crops with improved phosphorous efficiency through beneficial fungal interactions
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-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code