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domains and formal methods Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting
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, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: PhD in Computer Science, Software Engineering, or related field. Strong publication
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Computer Science, Software Engineering, or related field. Strong publication record in top-tier venues. Experience with LLM-based program analysis and infrastructure security. Proven ability to work collaboratively
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project is required to: Investigate the role of generative AI tools as boundary objects in large-scale systems and software development. Conduct longitudinal qualitative research on the adoption
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reference. Collaborating with AI scientists to provide domain insights that aid in the development of AI models. Performing experimental verifications of materials recommended by AI models. Publishing
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MRI studies Perform image analysis and postprocessing using neuroimaging softwares such as SPM, CONN, BrainVoyager, EEGlab and NIRSlab, etc Apply programming skills in E-Prime, MATLAB, PsychoPy and
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passionate individual contributing to NTU education environments A highly dynamic person inter-disciplinarily trained in AI, VR, and edu tech An experienced developer designing AI and VR for Education tools
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conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form of a report and present in international peer-reviewed conferences
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Science, or a related field Strong background in nutritional analysis, food safety, and data integration methods Proficiency in relevant laboratory techniques and data analysis software Ability to work
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-functional teams to integrate optical systems with other technologies, including electronics, software, and mechanical systems Develop and maintain technical documentation, including design reports, test plans