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- 
                Field
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                detailed records of findings Students may also work with analytical and clinical software such as MATLAB, Qualisys, Visual 3D, and Power BI, and contribute to literature reviews or research documentation 
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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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                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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                around him, in a way that fosters growth, education and the desire to meet and exceed his expectations. He shows the utmost compassion for his students and postdocs and gives so much of his time to aid 
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                team members. Contribute to maintaining and improving research software, including updating open-source repositories where applicable. Carry out other duties, commensurate with the grade and remit 
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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 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 
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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