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the lab's mobile manipulation platforms. •Establish the lab's shared hardware and software infrastructure, including simulation environments, software architecture, code review practices, and experimental
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responsible for developing and executing a NASA space-based mission through coordinated work across science, payload, spacecraft bus, software, systems engineering, integration and test, mission assurance, and
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the development of mathematical software Base Salary, Academic level A/B $113,634 - $157,381 + 17% superannuation About the opportunity The School of Mathematics and Statistics is currently seeking up to two
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; developing their software, mathematical, and computational expertise through internal educational opportunities; and sharing their knowledge through scientific publications, presentations, and/or software
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of Singapore (NUS). The selected candidate is expected to: • contribute to AI and software stack integration from architecture to vision task 1. Dataset, pre-trained model gathering, software sandbox and
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or experimental process data is advantageous; coating or functional-materials knowledge is a plus. Proven research capability through publications, conference papers, patents, software or comparable outputs
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for submission to premier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR). Convert research prototypes into scalable, deployable software systems or proof-of-concept demos. Design, code, and optimize robust deep learning
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focuses on software development using LLM-generated code. It will evaluate students’ ability to evaluate the correctness and computational efficiency of LLM-generated code, including whether more efficient
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operating advanced characterization (TEM, SEM, XRD, XPS, etc.); Good publication record (at least two first-author papers in international journals); Experience on the LPBF process monitoring and software
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/ROS 2, Linux, Git, and robotic software development. • Hands-on experience integrating robotic software with UAV hardware, cameras, embedded computing platforms (e.g., NVIDIA Jetson), and