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Field
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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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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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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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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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or bipolar patients, in a compassionate and sensitive manner; Familiar with psychiatric questionnaires and interviews; Experience with computers and computer software including MS Word for Windows, MS Excel
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) using SAS/R software such as R • Maintaining documentation of datasets and analyses • Writing up results for academic publications / presentations • Preparing tables and figures • Other duties as assigned
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ability to work independently and in a team environment Demonstrated ability to meet deadlines Discretion, tact and confidentiality Technical proficiency using various word processing software, spreadsheet
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, MS Excel, MS Outlook, Adobe, Zoom Intermediate-level proficiency with REDCap Basic skills and familiarity with design software, (e.g. Canva, Figma, Photoshop, InDesign), Web Editing (e.g. WordPress
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standard word processing and spreadsheet software Ability to manage tasks effectively within specific timelines; flexibility required for animal experiments and monitoring outside normal working hours