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will conduct the lab experiment for RAS system for pollution control in recycled water in aquaculture system. He/she will also use machine learning tools to predict and optimize the RAS system. Job
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The applicant should: have a Bachelor degree, preferably in Biomedical or related field; be able to work independently and in a team, be able to pay attention to details and learn new skills, have good
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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learning and improvement through structured post-implementation reviews, driving better future project outcomes. ITSM Governance Support the ITSM lead in achieving annual ISO 20000 certification. Develop and
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), hospitality and auxiliary services (car parks and shuttle bus services) in NTU main campus and NTU@one-north. OCAS is looking for a dynamic and experienced professional to be part of the team to manage the
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Materials Generative Design and Validation Framework. The role will work at the intersection of machine learning, high-throughput experimentation, and materials discovery, focusing on accelerating the design
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Linux, with hands-on experience in data wrangling, pipeline development, and statistical analysis. Skilled in Machine Learning, including supervised and unsupervised methods for biological data
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, leveraging advanced learning analytics, machine learning, and deep learning techniques. The candidate shall work under the supervision of the Principal Investigator (PI) and Co-PIs to conduct academic research
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research