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with three or more years of research/relevant work experience. For both posts, applicants should have strong background in materials science and engineering, such as mechanical testing, additive
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testing, and experimental validation related to learning-based deep SE(3) motion planning and control for unmanned aerial vehicles; and (b) support project coordination, documentation, report preparation
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. For all posts, applicants should have strong background in materials science and engineering, such as laser processing and additive manufacturing, materials’ properties testing, microstructure
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of Research Assistant, the appointee will also be required to support sensor development, data acquisition and logging, hardware / software integration, calibration, testing, and routine operation of
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project - “Utilising education spaces as test-beds: Harnessing human-environment interaction data to achieve thermal comforts and energy saving in University classroom”. Qualifications Applicants should: (a
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disease”. They will be required to: (a) perform clinical measurements of refraction and anterior eye examination; (b) perform dry eye evaluation and assessments; (c) perform tear sample collection
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frameworks such as PyTorch, with strong AI-assisted coding capabilities and practical experience in using AI coding tools to support code generation, debugging, refactoring, testing and documentation; (d) have
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) design, implement and deploy scalable security analysis frameworks and software systems; (c) develop automated analysis, testing, and evaluation pipelines using techniques such as program analysis
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Applicants should have a doctoral degree and research experience in composite manufacturing, composite testing, finite element analysis or related areas. Applicants are invited to contact Dr Zhang Wanrui
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automation, system integration, testing and commissioning. The appointee will be required to: (a) develop robotic software for automation sub-modules and mobile base within the designed framework; (b