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Field
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applies AI to tackle challenges in aquaculture and drug delivery, working at the interface of materials science, biology, and computational modeling. Key Responsibilities: Lead and execute AI-driven
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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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Engineering, Mechatronics, etc. Strong background in end-to-end autonomous driving, foundation models and reinforcement learning. Candidates having relevant research or working experience in autonomous driving
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R&D projects with good understanding of industrial needs. Strong research and technical expertise in the project domain, including experimental design, modelling methods, prototype system engineering
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the Asian School of the Environment (ASE) and the Earth Observatory of Singapore (EOS) to push forward the use of phase field models in earthquake rupture dynamics and fluid-driven fracture processes
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design and planning, product development, industrial and systems engineering and operational research, AI and data-driven modelling, mathematical modelling, simulation and design science methodology. You
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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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-cycle analysis, AI and data-driven design, will support the modelling and the development of decision support systems from the case studies involved in the projects with the final goal to create
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experience in data-knowledge fusion-driven dynamic modeling of complex structures, specializing in uncertainty quantification of nonlinear systems and intelligent model order reduction methods, with at least
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science, computational biology, engineering, statistics, mathematics.). Experience and interest in prediction modelling Proficient in statistical software and programming languages and familiarity with relevant libraries