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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets
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of innovative solutions for next-generation sensing and imaging systems. The role requires the experimental design and operation of photonic and optoelectronic platforms, collaboration with research teams, and
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Responsibilities: Operate and optimize PVD and CVD plasma-based processes for advanced thin film deposition. Perform oxide and nitride composite thin film deposition, followed by in-depth materials characterization
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statement Administration Ensure all work processes met the ethical standards of the University, Singapore Good Clinical Practice Guidelines and other applicable regulatory and ethical requirements
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of the research process, as appropriate for career stage. A strong grounding in evidence synthesis methods. Track record (or the potential) of publishing in peer-reviewed journals, writing well-researched science
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. Equipped with effective organizational and interpersonal communications with excellent written, oral communication and computer skills. A team player who is able to prioritize, multi-task and work
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development and optimization of plasma-based PVD and CVD processes for advanced material applications. Operate and maintain semiconductor analysis and metrology tools to evaluate thin film and device properties
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required to give seminar(s). You are also required to acknowledge ARI in all your publications resulting from the period you are at the Institute. Application Process Please submit all documents in one
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, Safety, and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD degree in electrical/civil/mechanical engineering
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Materials Science, Textile Engineering, Chemical Engineering, Mechanical Engineering, or a related field. Strong hands-on experience in materials processing and fiber-based device integration. Knowledge