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Apply now Job no:532117 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate Develop and enhance Natural Language Processing systems to support AI-driven products and
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the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world
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digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data, laying the foundations of next
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Universities; and #8 for Data Science and AI by QS World University Ranking. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers
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joint project led by Delft University of Technology. This project focuses on developing a novel mechanics and data-driven approach to create climate-resilient asphalt materials (AMs) used for critical
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cutting-edge research on Singapore energy market. The role involves data-driven market analysis, policy evaluation, economic modelling, and stakeholder engagement to inform strategic decision-making
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droplet impact and wetting on fibrous networks in order to enhance fog net technology. The planned work is experimental and will be conducted in our lab facilities, also incorporating theoretical models
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, computational chemistry, or related fields, with focus on areas such as generative models, virtual screening, or AI-assisted research and workflow automation. The exact research scope is flexible, and the key
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libraries (e.g., TensorFlow, PyTorch, Scikit-learn, SHAP), demonstrated ability to handle large datasets, perform feature engineering, and evaluate model performance Academic concepts and theory relating
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in