22 coding-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions in Singapore
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doing up research reports/presentations. Basic qualitative research analysis knowledge and skills (i.e. Coding, theme development, use of NVivo) Excellent organizational skills and ability to manage
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multiple stakeholders. - Excellent analytical abilities and academic writing skills. - Familiarity with, or teaching experience in, the Singapore education system is highly advantageous. Responsibilities
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solutions, including integration with existing platforms or low-code development. Drive vendor selection and contract negotiations; monitor vendor performance to ensure delivery quality and adherence to SLAs
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skillset to manage and monitor multiple contractors’ and site activities concurrently. Responsibilities: The successful candidate will be responsible for: Ensuring strict EHS compliance, improving EHS
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and utilise low-code solutionss (e.g. iPath, Outsystems, Microsoft Power Platform) to automate workflows and enhance process efficiency. Manage project timelines, milestones, and resources to ensure
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multiple twin environments Optimization of code for lower latency and better performance of the twin in simulated settings. Managing Twin deployments for various cybersecurity exercises including such as
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, rubrics). Assist with setup and technical troubleshooting during intervention phases. Conduct and support data collection, including managing code for in-game data capture if applicable. Perform
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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project specifications. • Review and rectify data discrepancies, and upkeep multiple datasets by compiling, cleaning, and sorting information according to established data fields to support overall data
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validations, audio audits, onsite checks, and observations. • Ensure work is done in accordance with project specifications. • Review and rectify data discrepancies, and upkeep multiple datasets by compiling