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, bioinformatics, predictive modeling, and digital-twin thinking. We are looking for two profiles: Neonatal Microbiome Research Fellow (postdoctoral only) Microbiome Ecology and Data Science Fellow (PhD
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and student guidance. Assist in the preparation and writing of research grant proposals. Job Requirements: PhD degree in computer engineering, Computer Science, Electronics Engineering or equivalent
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. The candidate should be able to work independently while contributing effectively as part of a team. The candidate should possess strong analytical, technical, and problem-solving skills, as well as excellent
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Electrical Engineering High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones
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predict storm surges in Singapore coastlines based on different weather conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing
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Digital Provenance Research and Collection Histories Computer Vision for Art Historical Research Cultural Analytics and Network Analysis Geospatial Approaches to Art History Supervision The Fellow will also
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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modelling or simulation would be an advantage. Strong analytical and data visualisation skills, with the ability to interpret and present complex technical results clearly. Ability to work independently
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molecular, physiological, biochemical and ecological approaches across laboratory, glasshouse and field settings. Design, establish and deliver field and laboratory experiments, applying advanced analytical
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system. Job Requirements: Possess a PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Solid background in