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Are doctoral positions paid? All doctoral positions are fully funded, including social benefits. Students also receive funding to attend conferences and other events related to their research, and have access to outstanding facilities. Do I need to know English? Yes, English is the institute’s...
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to establish priorities and meet deadlines. Computer competency with Microsoft Office Software, Reference Manager or related software. Equity and diversity are essential to academic excellence. An open and
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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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(e.g. textbooks, stationery, laptop, course software, equipment etc.) Conference and/or workshops attendance to complement studies Editing of final research thesis (must be in final year of research
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using Power BI (or similar software such as Tableau or Spotfire) Programming skills in Python or R Excellent interpersonal, verbal & written communications skills Ability to work independently and as part
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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
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(descriptive and inferential statistics) Survey design and analysis Software skills: SPSS, R, SAS, Stata, NVivo Interviews Thematic or other types of qualitative analysis Mixed-method integration techniques