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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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with stakeholders to translate requirements into AI specifications and deliverables. Mentor research assistants and student project members; review code, support experimentation, and enforce good
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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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in a team environment Responsibilities: Planning, preparation, and implementation of data collection Data cleaning and coding Synthesising of information from research findings Preparation
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in a team environment Responsibilities: Planning, preparation, and implementation of data collection Data cleaning and coding Synthesising of information from research findings Preparation
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) • Planning, preparation, and implementation of data collection • Data cleaning and coding • Synthesising of information from research findings • Preparation of presentation
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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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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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research artifacts. Support the preparation of research publications, codes, and grant-related deliverables. Participate in regular team meetings and contribute to the problem-solving, design, and
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-POSITIVE), we will code and analyse children and parents’ behaviours when presented with a challenging task after an easy task. Objective 3 (Study 3): Investigate how early achievement-related experiences