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algorithm market success: code, data, and (pre-trained) models”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. Xin Li
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flyers and making recruitment phone calls to families. Behavioral coding tasks include: Coding parent-child interaction tasks Completing CITI Training Utilizing Google Calendar, Slack, Canvas, and
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reviews; (b) develop and conduct writing tasks and questionnaires; (c) assist in data coding and basic data analysis; (d) assist in managing the project; (e) assist in preparing progress/final
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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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, please prepare a code sample demonstrating your programming and data analysis skills (Include code files in a zip file named “Surname_Firstname_Pre-doctoral_Application**.**zip” with explanation of context
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Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in writing clean, efficient, and well-documented code. Mathematics including linear algebra and
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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