413 machine-learning-"https:"-"https:"-"https:"-"https:"-"The-Open-University" positions at Nanyang Technological University
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computational analyses (e.g., regression, network analysis, machine learning). Academic writing skills and willingness to co-author publications. Strong problem-solving skills and ability to work independently
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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(specifically PCECs). Proven experience in developing and validating numerical models (e.g., using COMSOL). Hands-on experience with programming for numerical optimization, machine learning, and data processing
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, building automation and control (BAC) system, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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/or computational skills (e.g., large-scale data analysis, bibliometric analysis, machine learning methods) will be an advantage. Excellent written and oral communication skills. We regret that only
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outreach activities and events. Conduct safety risk assessments for all equipment and processes. Requirements: Degree in Mechanical/ Mechatronics/ Manufacturing/Computer Engineering. At least 10 years of
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engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work
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a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts. Key Responsibilities: Theoretical predictions using DFT and machine learning, and
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research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next