45 multiple-sequence-alignment Fellowship research jobs at Nanyang Technological University
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-tier venues (e.g., ICSE, ASE, TOSEM, AAAI, EMSE), with at least 10+ publications, including multiple CORE A/A* papers. Demonstrated expertise in deep learning architectures, computer vision, and medical
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a focus on emerging threats, adversarial resilience, and trustworthy autonomous decision-making. Design and implement novel research methodologies to advance the security, reliability, and alignment
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interdisciplinary teams to align AI research with ethical standards and best practices in AI safety. Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research
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network with leading universities globally. The on-campus concept provides a structured approach focused on applied research in strategically important topics aligned with Schaeffler’s strategic roadmap
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to work independently under strict timelines Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously Entry level candidates are welcome to apply Hiring
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for activating small molecules such as CO, CO2, or syngas. Depending on experience, the candidate may also lead independent research projects aligned with the team’s scientific objectives, while assisting in daily
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: Management of large datasets across multiple courses and academic years. Conduct the required data analyses to test the hypotheses outlined by the research team, including Hierarchical Linear Modelling and
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of nanomaterials. Programme and manage research activities, including experimental design, data analysis, and interpretation, ensuring alignment with project goals and timelines. Develop and implement machine
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bodies and industrial collaborators. Foster cross-disciplinary collaboration with academic and industry stakeholders to ensure that technical solutions align with operational needs and practical
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environment. Develop robot localization approach leveraging data from multiple sensors including but not limited to camera and lidars. Develop efficient approach for multi-robot trajectory planning and tracking