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modeling and optimization, is a plus. Experience using commercial codes like ANSYS-FLUENT is desirable. Qualifications An Associate Research Scientist/Scholar typically holds a PhD or equivalent terminal
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of Prof. Khaled Shahin. Qualifications Candidates must have a strong background in fiber-reinforced polymer (FRP) composites, with experience in testing, manufacturing, or modeling preferred. Working within
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contributing to Work Package 5 – 'Approaches for seismic design, risk and loss assessment'. The selected researcher will actively collaborate in the numerical modelling of steel storage racking systems, as
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rigs" for components such as intake, nacelle, bypass duct as well as nozzle and mixer. Implementation & training: you prototype selected AI/ML models (e.g. PINNs, graph-based models) within
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analysis (FEA) and numerical modelling, preferably using Abaqus. Good programming skills, preferably in Python. Ability to work effectively both independently and as part of a multidisciplinary research team
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Science and Artificial Intelligence. The lab models, simulates, and analyzes social phenomena using computational, experimental, and theoretical methods. We pursue consequential questions
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influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on AI training algorithms. The role will focus
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the CARNOT HyLBM project, which aims to develop advanced numerical models for hydrogen storage in nanostructured metal hydride reactors. The researcher will contribute to the development of advanced
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of steel compositions. The future potential of the model / numerical tool to replace costly trial- error method will also be evaluated. The Institute Jean Lamour (IJL) is a joint research unit of CNRS and
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one programing language (e.g., R, STATA). · Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data analyses, and causal inference methods. Understanding