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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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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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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
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interest in connecting theory with experiments, demonstrated skills in analytical and numerical computation, and a broad expertise in fields such as atomic physics, quantum optics, quantum optimal control
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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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involvement in research activities) in one or multiple areas mentioned above. In addition, we request the following expertise: Convex/non-convex optimization Signal processing and general communications
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have expertise in at least one of the following research areas: PDEs, numerical methods, optimization, functional analysis, or stochastic analysis Candidates without a master’s degree have until 1st