81 finite-element-analysis Fellowship positions at Nanyang Technological University in Singapore
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of visual reasoning methods for vision and language, including visual question answering, visual dialog, visual commonsense reasoning, visual captioning, object detection, video analysis. Development
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sustainability. For more details, please view https://www.ntu.edu.sg/ase . We are looking for a Research Fellow to carry out bioinformatic analysis of marine metagenomes from Singapore. The role will focus
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quality reports and documents that consolidate research findings Develop a bespoke photo(electro)catalytic characterisation setup and protocols for product analysis Maintenance of equipment and supplies
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energy-related systems such as lithium-ion and lithium-metal batteries. Familiarity with high-throughput simulation workflows and materials discovery pipelines. Demonstrated ability to design and fabricate
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reputable journals and conference proceedings in Communication and HCI. Proficiency in quantitative/statistical analysis and computational techniques (e.g., NLP, data mining). Experience conducting mixed
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for detecting visual stress markers using underwater cameras, and other imaging modalities in industrial environments (RAS farm) Develop and validate pipelines for fish biometrics, posture and movement analysis
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of nanomaterials. Programme and manage research activities, including experimental design, data analysis, and interpretation, ensuring alignment with project goals and timelines. Develop and implement machine
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methodologies and harmonising protocols across studies. In addition to supporting research projects, the candidate will provide data analysis services to users, facilitate collaborations across disciplines and
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on a project on Li-ion battery ageing analysis and experiment testing. Key Responsibilities: Perform experiment testing for Li-ion batteries Development of heath indicators based on the experiment
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integration and AI models tailored for fish behaviour, health, and stress signal analysis. Investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and