84 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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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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), vulnerability detection, and LLM-powered code generation. With experience in developing multi-agent repair systems, integrating program analysis with LLMs, and exploring vulnerability detection frameworks
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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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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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administrative processes using emerging technologies such as Generative AI and low-code platforms As a key enabler and catalyst for change, the job holder will collaborate closely with internal and external
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C++ or Python 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
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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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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