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candidates will be involved in a project that is related to generative design. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and
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of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
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of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably Master in Computer
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++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with simulation environments such as Unity ML-Agents, NVIDIA Isaac Sim, Mujoco, or similar. Solid
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or closely related disciplines from a reputable institution of higher learning Minimum 1 year of relevant research experience in data visualization, human computer interaction, machine learning, data mining
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electronics Prepare the syllabus and lecture materials for the MSc course. Meeting the learning outcomes of the MSc course. Provide reading list for the MSc course. Provide consultation to the students where
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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Research Associate (Computer Engineering/Computer Science/Engineering/Mathematics/Biology/Chemistry)
Science, Engineering, Mathematics, Biology, Chemistry. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills Proficiency in Machine Learning/Deep
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). Applying advanced statistical and machine learning methods (e.g., predictive modelling, clustering, multivariate integration) to large-scale time series and sensor datasets. Contributing to the development
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Digital Twin for electric vehicle applications. The role includes development of battery management systems, machine learning models, and web-based user interface. Our objective is to improve