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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
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background in applied empirical methods, coupled with a keen interest in pursuing a quantitative marketing PhD degree with a focus on machine learning or structural modelling. Responsibilities: The successful
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of high-gain antennas and apply prior-knowledge for machine-learning enabled-synthesis. The applicant will report their research achievements at prestigious journals and conferences. The applicant shall
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modelling, ecology, entomology and machine learning. This position will contribute to field epidemiology research projects on the impacts of environmental change on vector-borne and zoonotic disease risks
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; • Scripting/computer programming knowledge is required; • Knowledge of data analytics and/or data visualization is desired; • Expertise in building simulation and/or the application of deep learning is a
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complex systems is preferred. Qualifications 1. PhD in Photonics or Physical Optics 2. Hands-on expertise on complex photoelectric medium design. Specifically, photonic structure design & fabrication
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expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply. • PhD in electrical engineering
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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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completing a PhD degree in Electrical and Computer Engineering or related field, preferably with teaching and post-doctoral research experience. Applications for the NUS Presidential Young Professorship can be
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and inquisitiveness to learn new things Benefits • Participate in the development of satellite projects at a world‐class research facility • Be involved in a multi‐disciplinary program, conducting