30 parallel-computing-numerical-methods Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB
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content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and
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modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather
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that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with
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renewable energy. Responsibilities include calibrating simulations with experimental/numerical data, performance analysis, and contributing to interdisciplinary research on coastal protection, with
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and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel. Investigate geometric imperfections
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the research team under the project titled: Occupant Tenability and Time to Flashover in Small-Sized Flats (Numerical Study Phase) Under this job, you will develop a CFD modelling platform to study effects
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and