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Field
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organizational and documentation skills Working knowledge of Microsoft Office (Word and Excel) Excellent written communication Technically capable with ability to quickly become familiar with hardware, software
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, collecting and analysing biomedical data, training machine learning models for bowel sound classification, and supporting prototype refinement and software integration for eventual commercialisation. Key
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skills. Knowledge of scientific terminology and research methodology. Proficiency with computer applications such as word processing and spreadsheet software (SPSS, Microsoft Word, Excel), and internet
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skills. Knowledge of scientific terminology and research methodology. Proficiency with computer applications such as word processing and spreadsheet software (SPSS, Microsoft Word, Excel), and internet
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the production of customized frames with biomaterials through additive manufacturing, in which the frames can be customized with built-in biomedical sensors and co-creation software. The work to be carried out
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computational modeling software (e.g., MATLAB, Simulink, OpenSim). Interest in rehabilitation robotics or medical devices Strong communication and teamwork skills Salary Commensurate with experience. Number
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and working with research data using relevant methods and software (e.g., SPSS, RStudio, NVivo). Reviewing and summarising academic literature. Helping to draft research papers and preparing data
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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(surveys, qualitative approaches, participatory research, quantitative analysis). Proficiency in a variety of software and tools for documentation, simple analysis, document production, presentation
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and deliver highly effective Nature Park training to a wide range of participants. You will be proficient in the use of relevant software packages for the collection, analysis and presentation of survey