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approaches used in the molecular life sciences practical experience with research computing tools and languages (e.g. Python, R, shell scripting) proven ability to develop reusable training resources
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literature searches using relevant databases, developing study protocols, preparing surveys/experiments, managing and cleaning datasets, data analysis using R, data visualisation, and reproducible workflows
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, ECG, blood pressure, and fNIRS, collected during clinical trials, using platforms such as Labview, Matlab, R, and SPSS to ensure high-quality data integrity and usability optimise research project
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. Matlab, Maple and/or Mathematica), and or statistical programming languages (e.g. R, Python), and/or online learning support systems (e.g. Canvas, EdStem and Webwork) Work Rights You must have unrestricted
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. Experience conducting statistical analyses using statistical packages such as SPSS, Stata or R Proven ability to work both independently and collaboratively, exercising initiative, sound judgement, and
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Senior Software Engineer, you will: Design, deploy and manage R&D software projects in field robotics Engage with industry partners and the public Support the team lead and project manager in planning
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large and diverse organisation. Expertise in Power BI, and experience in using analytics programing languages, such as SQL, R or Python. Highly developed data analysis skills to query and validate data
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, Biomedical Engineering, Bioinformatics, etc.). experience with data analysis in biological or clinical contexts. proficient in programming languages, specifically Python and R, with additional experience in C
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS