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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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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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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
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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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letter describing research interests, relevant experience, and career goals Transcript (unofficial is acceptable) Sample code (optional) Sample paper (optional) Shortlisted candidates will be contacted