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Field
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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data integration, including integration of cell-based data with imaging-based data. Experience with data science tools, analytics and programming languages (e.g. R, python) and HPC Excellent
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Visualisation Generative AI and LLMs Programming (Python, R, SQL) Databases and IoT Applied Statistical Methods You will also be involved in the development and delivery of short courses for industry
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understanding of how research operates, and how data and software underpin reproducible research Knowledge of Python and Jupyter services Experience with designing and delivering training Very good command
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. Knowledge/experience in CAD, Arduino, Ubuntu, Python or any other educational/engineering software-specific package. Working with and part of dynamic teams with demonstrated abilities in collaboration
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electrical engineering, design and technology, or other relevant field. 9. Knowledge/experience in CAD, Arduino, Ubuntu, Python or any other educational/engineering software-specific package. 10
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facilities, including ultrasound tongue imaging, electropalatography, electro-glottography, and nasometry. a range of software programs to support the above tools (e.g. PRAAT, ELAN, PHON, AAA, R, Python, etc
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, biomedical sciences, or a related quantitative field * Proven experience in analysing biomedical datasets using Python and/or R Experience working with complex data types Demonstrated ability to develop data
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analysing biomedical datasets using Python and/or R Experience working with complex data types Demonstrated ability to develop data processing or integration pipelines Familiarity with high-performance