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Field
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phase-field simulations. Experience in developing AI or machine learning models for physics-based scientific or engineering applications. Proficiency in Python, scientific computing and machine learning
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publications. Requirements: PhD in Computer Science, AI, Data Science, Materials Science/Engineering, Chemical/Mechanical Engineering or a related field. Strong machine-learning/data-science or computational
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and equipment variability. Key Responsibilities: Develop machine-learning models for process prediction, state estimation, adaptive optimisation and closed-loop decision support. Build structured and
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Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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and writing of research grant proposals. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a
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report project progress. Job Requirements: PhD degree in Computer Science, Computer Engineering, Electronics Engineering, AI, Machine Learning or equivalent. Strong research record in computer vision
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data. Publish research findings/papers in high-quality top journals. Prepare proposals for further research and development. Mentor and supervise students. Job Requirements: PhD in Civil Engineering or a
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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• Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024. • Strong knowledge and
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. Communicate research findings through presentations at scientific conferences, project meetings, and programme reviews. Job Requirements: A PhD degree in Chemistry, Materials Science and Engineering, Chemical