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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
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multimodal foundation models is preferable. Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc. Proven research ability as evidenced through a portfolio of
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, scripts, or lightweight applications using Python, R, or JavaScript Manage research code, data pipelines, and documentation Support the preparation of academic manuscripts, technical reports, and policy
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the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and
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development and debugging experience Solid understanding of fundamental machine learning and AI techniques Knowledge of computer graphics and interface design Fluent in coding with generative AI Creativity
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failures promptly. Monitor consumables and study supplies, flagging needs for replenishment. Ensure strict adherence to study protocols, including familiarity with the Code Blue Response SOP. Adhere to Good
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interviews and experimental sessions with young and older adults, transcription and coding of multilingual dialogue, and field user studies in local elder-care settings. The role involves close collaboration
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: To have a good understanding of prevailing fire safety code and regulations, workplace safety and health, building codes and standards is beneficial. 6. Project Management Skills: The ability to plan