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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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. The ideal candidate will act as a bridge between business needs and technology solutions, leveraging low-code or no-code platforms to develop solutions that enhance operational efficiency and advance SAO’s
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letter describing research interests, relevant experience, and career goals Transcript (unofficial is acceptable) Sample code (optional) Sample paper (optional) Shortlisted candidates will be contacted
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empirical and quantitative skills. 3. Has good coding skills. 4. Has good communication skills. 5. Visualization skills an added advantage. We regret that only shortlisted candidates will be notified. Hiring
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of Microsoft applications. Tech-savvy, with a basic knowledge and understanding in SQL and web markup language coding. Proficiency in Chinese is essential as the job holder is expected to review database records
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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer
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to projects by performing medium-level coding tasks, assisting with technical challenges, and supporting the development process. Compliance Audits: Participate in audits to ensure compliance with both internal
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tools, APIs, RPA, or low-code / no-code platforms. Data analysis, reporting or visualisation. IT systems support hardware, AV or digital display technologies. Prior experience in a library or academic
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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer
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hardware and software platforms. Collaborate with project team members to prepare technical reports, documentation, datasets, and research artifacts. Support the preparation of research publications, codes