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forward the use of phase field models in earthquake rupture dynamics and fluid-driven fracture processes. The project bridges applied geophysics and computational mechanics, and is jointly developed with
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting the research in combining AI techniques with formal methods
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Responsibilities: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety
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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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, 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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transmission and reflection geometry. Key Responsibilities: Operation, maintenance, and modification of scientific equipment in Prof. Chia’s laboratory Management of project issues, including related paperwork
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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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/ 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