13 parallel-computing-numerical-methods Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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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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to ensure all project deliverables are met. Undertake these responsibilities in the project: i. DHI Mike Modelling: Utilize DHI Mike software to develop and validate numerical models for wave propagation and
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of fermentation method in 10L and 100L stirred tank vessels Key Responsibilities: Fulfill the primary responsibilities within the project: i. Deliver structured presentations of research plans and findings every
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breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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interdisciplinary team on developing high performance urban farming module via computational and empirical analysis Support in the design and maintenance of the vertical farm to be setup in SIT@Dover and willing
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Health Regulations. Assist in project resource requirements and managing student projects. Job Requirements: Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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team, to ensure proper operation and maintenance of equipment. To work with international and interdisciplinary team on developing high performance urban farming module via computational and empirical