777 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at National University of Singapore
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academy partners. NUS-ISS is seeking a seasoned Senior Instructional Designer to craft and deliver innovative learning programmes in high-demand fields such as AI, Data Engineering, and Product Management
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technical expertise in fish reproduction, genetics, diagnostics, health, and developmental biology Analyse research findings and disseminate data Achieving project KPIs, guiding researchers through training
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• Develop and implement generative AI models for urban landscape planning and design • Interpret and analyse data • Collaborate with other team members to conduct interdisciplinary research • Publish
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has established a reputation for advancing a systems approach to design. We understand the systems designer as one who formulates holistic, data-driven, and sustainable strategies into urban planning
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work The successful candidates will be offered in the first instance a two-year contract. Longer contracts would be offered at renewal depending on performance. More Information Location: Kent Ridge
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technical team environment, problem-solve and manage multiple projects concurrently. 7. Strong team player with excellent interpersonal, written, and verbal communication skills. More Information Location
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(Word, Excel and PowerPoint More Information Location: Singapore Organization: National University of Singapore Department : Central Procurement Office Job requisition ID : 31616 Apply now
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and ethics. More Information Location: Kent Ridge Campus Organization: Yeo Boon Khim Mind Science Centre Department : Yeo Boon Khim Mind Science Centre Employee Referral Eligible: Yes Job requisition ID
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management, monitoring, and budget, data and resource management • Stakeholder and partner management and serve as the central point of contact among stakeholders • Organize cross-country meetings; prepare
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, withdrawal, reinstatement, and extension of candidature. • Triage and resolve cases efficiently by partnering with department counterparts and other stakeholders. • Provide data-driven recommendations