750 coding-"https:" "https:" "https:" "https:" "https:" "https:" "I.E" positions in Singapore
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to drive continuous improvement and mitigate risks Ensure suppliers adhere to University policies, code of conduct, ethical sourcing standards, and relevant government regulations 3. Risk Management Identify
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education projects Has published in reputable academic/scholarly journals Background in technology and ability to code in Python Ability to write academic papers Responsibilities: Liaison with school and MOE
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comply with statutory requirements, codes of practice, and internal governance frameworks. Requirements: Bachelor’s degree in Electrical Engineering, Mechanical Engineering or Facilities Management
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Electrical systems and good knowledge in building services design, installation and maintenance. Well versed in relevant authority/regulatory codes of practices for Electrical. Candidates with experience in
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coding in bash and R/Python Experience in creating and maintaining Nextflow pipelines. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable
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well as fulfil our role as a public university of Singapore, shaping the future. Through SCALE, working adults (i.e. professionals, managers and executives) who aspire to stay relevant and ahead of competition
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to the development and maintenance of analytical pipelines and opensource software. Contribute to academic writing, data visualization, and presentations. Website development and maintenance of code/documentation
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is preferred. Industry experience can be an advantage, if relevant to the project. High proficiency in coding (e.g., Python, R, MATLAB, JavaScript), data management, and scientific data analysis, as
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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well as design/ perform and analyse work within the project parameters. Research: design, perform and analyse work with mouse models to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS