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, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design
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, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design
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, digital currencies, fraud detection with data science and machine learning, create prediction models using structured and unstructured data, and apply the techniques to solve the real-world problems in
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. The successful candidate is required to: - Contribute to programming, modelling, and human robot interaction - Contribute to computer vision and machine learning algorithms. - Contribute to the implementation
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in the area of machine learning (ML)/deep learning (DL). The applicant must be well-versed in the necessary ML/DL tools and techniques with an application in remote sensing/earth observation. It is
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for application of research outcomes; Contribute to knowledge exchange activities with external partners and collaborators; Requirements A PhD in Computer Science, with specialization related to machine learning
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analyses (e.g., multi-level analyses, network analyses, and machine learning); (4) Oversee the general management of the project; (5) Provide administrative and secretarial support to
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leadership, self-manage and motivated, with minimum supervision. • Data mining and analysis, machine learning skills. • Research experience on maritime risk assessment and big AIS data processing. • Good
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statistics and machine learning More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Industrial Systems Engineering and Management Employee Referral
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, solution and implementation of robust traffic signal control of the intersections using machine learning methods. The role involves the opportunity to work with the research team within National University