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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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, lamination, and testing. He/she will contribute to the development of new application driven materials and production processes, located mostly at Nanyang Technological University. Key Responsibilities: Lead
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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and testing, process modelling, data processing and reporting, progress report preparation, etc. Journal paper publication. Assistance in research proposal preparation, etc. Assistance in mentoring
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the supervision and mentoring of graduate students and junior researchers • Contribute to future grant proposal developments Application Process: Interested applicants should submit the following documents: • A
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the NRF CREATE programme Singapore Aquaculture Solution Centre (SAS-C). This position is tailored for candidates with expertise in visual signal processing, biosignal interpretation, growth monitoring, and
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/ information/ proposal required for research-related grant call process Conduct experiments related to lipids and sporopollenin-based drug delivery Conduct interpretation and application of experimental results
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project