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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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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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an undergraduate program in computer science, engineering, neuroscience, cognitive science, or related fields. Basic familiarity with Python or similar languages; ability to read code and understand debugging
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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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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-NEA-2025-0261 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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. Job summary The Research Assistant will support development on the SEAL application, primarily coding sections of the user interface. Code will be written in Python and will follow coding and archiving