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Processes Multi-Location Trial Evaluations Further Value Chain Assessment and Development Qualifications PhD in Biological Sciences or Molecular Biology/ Biochemicals Skills: Able to code in R Perform
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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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• Proficiency in R, python or other coding languages for data analyses • Tree species identification skills would be highly advantageous • Proficiency in QGIS, CloudCompare, DJI Terra and other remote
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harmonisation, and model generalisability. • Maintain documentation, computational workflows, and reproducible code repositories. Project Management & Collaboration • Work collaboratively with clinicians, data
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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