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of mechanics, acoustics, design optimization, and advanced manufacturing. The key responsibilities of this position include: Perform numerical simulation to solve structure-acoustic problems Perform design
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. The key responsibilities of this position include: Perform numerical simulation to solve fluid-solid-interaction problems Perform design optimization, especially AI-based generative design Master domain
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solid particle transport. The successful candidate will contribute to the creation of an AI-optimized platform capable of achieving up to 50× speedups in simulation performance, enabling real-time, energy
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performance, safety, and scalability. The project may involve both experimental investigations and numerical simulations, depending on the candidate’s background and the evolving needs of the research
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among climate models and representative concentration pathways (e.g. emissions scenarios). Objective 3: Identify site-specific optimal vegetation treatments for minimizing extreme fire behavior
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assist in grant writing. Perform research on high-performance numerical optimization solvers for robotic motion planning and control. Present results at conferences and author archival papers. Other duties
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metabolomics core and research facility in Singapore, actively contributing to numerous projects aimed at uncovering disease mechanisms through advanced metabolomics profiling. We are seeking a Research Fellow
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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processes. As theoretical understanding of such nonclassical states has advanced over the past few years, numerous experiments will be required to verify and further optimize them for potential applications
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to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph theory, and statistics. Algorithm