1,790 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Singapore
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: https://careers.nus.edu.sg/job/Research-Assistant-%28LKYSPP%29-%2828582%29/28582-en_GB/ Research Associate apply here: https://careers.nus.edu.sg/job/Research-Associate-%28LKYSPP%29-%2828583%29/28583
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The Coastal Protection and Flood Management Research Programme (CFRP) aims to advance knowledge in coastal and flood resilience and spur the growth of a vibrant research and development ecosystem
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stewardship to postgraduate students during their academic journey in pursuance of their higher aspirations, realizing NTU goals in securing its position as a global university of excellence. This is in line
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vendors on security issue related to applications, and update applications if needed. Requirements: Degree in Information Technology, Computer Science or a related discipline. At least 3 years of hands
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Security to ensure timely resolution of guest requests. ⦁ Communicate effectively with team members to ensure smooth handovers between shifts. ⦁ Escalate unresolved issues to Senior Executives
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to project scope, deliverables, resources and budget. • Ensure compliance with security, development and quality standards. • Identify and keep abreast of latest application development and technology trends
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-enabled capabilities such as data quality monitoring, anomaly detection, and intelligent analytics Work with internal and external teams to ensure scalable, secure, and sustainable automation solutions Data
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-centred design and AI, with a focus on how AI technologies—such as natural language processing, computer vision and sensors—can be leveraged to enhance the human condition. The candidate will contribute
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis using computational