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) Develop digital twin models for ventilators using machine learning and AI modelling techniques, b) Run simulations to obtain ventilator’s performance in varying conditions, c) Draw insights through
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Science, Mathematics, Statistics, or relevant fields. Strong background in machine learning. Experience in machine learning for optimization is preferable. Knowledge with machine and deep learning software packages
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candidates will be involved in a project that is related to Image Manipulation via Diffusion Models. Key Responsibilities: To independently undertake research in computer vision and machine learning
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particularly machine learning models for recommendation and decision making. Key Responsibilities: Conducting literature review on AI and machine learning for decision making and recommendation Designing a new
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. The Research Assistant will be responsible for designing and implementing efficient and robust systems, and applications for algorithms and methodologies based on state-of-the-art research in machine learning
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The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. Key Responsibilities: To conduct independent research in quantum machine learning
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recommendations based on the analysis of visual data to support strategic decision-making. - Collaborate closely with a team of machine learning engineers, data scientists, and software developers to integrate
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of scaled up process Interface with machine learning group on data base set up Battery safety testing Job Requirements: Ph.D in chemistry/ Materials Science/physics Candidates with strong background in
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A Corp Lab in NTU is looking for a research scientist to conduct research with the PI in the areas of digital twins, 3D graphics, computer vision, deep learning, large language models (LLMs
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systems. Experience in 3D computer vision is preferred. Proficient in programming with deep learning architectures, such as PyTorch, TensorFlow, etc. Skilled at managing multiple tasks across projects and