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guidance. Develop documentation, training materials, and reusable code templates. Requirements Bachelor’s degree in Computer Engineering, Sciences or its equivalent. Hands-on experience with CUDA, OpenCL, C
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. The employee is to communicate with any relevant
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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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and electrochemical characterisation equipment. At the same time support for the operation of a pouch cell prototyping line by the research team is expected. The position will be open from 1 September
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model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy