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will play a key role in supporting both Professor Chambers’ and the team, mainly in, but not limited to, the following roles: Developing and implementing pipelines for quality control and analysis
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development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction qPCR, western blotting and other metabolic
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. The successful candidate will work with an interdisciplinary team of scholars based in Singapore to advance research and develop solutions to tackle online toxicity. The contract is for 1 year and is renewable up
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developing their own independent research projects. The ideal candidate will have a PhD in philosophy or physics, a strong research track record, a concrete proposal for a research project related to
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international conferences and journals. Collaborate closely with faculty members at CCTF to shape research directions, develop grant proposals, and translate research outcomes into impactful applications. Mentor
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scientists and strives to bring the quantitative science and biomedical research communities together. We invite applications for a Research Fellow/Senior Research Fellow position for development of risk
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, developing robust sensing protocols, and delivering solutions for real-world applications. The successful candidate will join a multidisciplinary team and contribute to publications, project management, and
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(onboarding, account recovery, privileged access, device attestation). • Develop post-quantum authentication and key management approaches, including credential lifecycle and auditability. • Build threat models
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potential in developing a record of publication in high-impact peer-reviewed journals; Exhibit a high level of competence and flair in written and spoken communication and in academic writing; Possess strong
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is to develop real-time truck-drone collaboration system to enhance Singapore safety and resilience and using learning-based approaches. Key responsibilities include: Collecting and analyzing relevant