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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry
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possess (1) at least a Second Upper Class Honours Bachelor of Science or Engineering or equivalent qualification and (2) a PhD degree in Science or Engineering, from reputable universities including NTU
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applications. Job Requirements: PhD Degree from a reputable university with relevant research experience/expertise and strong journal publication record. Prior experience on similar research and strong record
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recovery Perform advanced water analysis Perform membrane fouling characterization and membrane autopsy Prepare research paper, progress report and presentations Job Requirements: PhD degree from a reputable
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-driven models to optimize solvent systems. Mentoring the training and learning of PhD and undergraduate students on sustainable biomass conversion topics Assist in report/document/further grant writing
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Requirements: Preferably PhD in computer science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as evidenced through a portfolio of publications and/or
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Requirements: A PhD degree in mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data Proficiency in programming languages such as
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, Safety and Health Regulations. • Assist in project resource requirements and managing student projects. Job Requirements: • Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering
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imaging Culture and transduction of primary and immortalised mammalian cell lines Laboratory management and supervision and training of students Job Requirements: PhD in Neuroscience, Molecular Biology
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publications and presentations, and dissemination of the results Administrative work associated with the program of research as necessary Job Requirements: PhD degree in psychology, social sciences, or health