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including at sea sampling Experience of working with stakeholders outside of the academic environment Experience in statistical analysis and mapping using appropriate software (e.g. R, Matlab, ArcGIS
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Health Promotion, 12(1), p. 376. Gray, R.(2015) ‘Changing times in the United Kingdom: The Centre for the Advancement of Interprofessional Education responds to the challenges’, Journal
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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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media, conduct bat acoustic surveys, analysis of acoustic data, use of R for mapping of data, reporting, conduct PR and media events and volunteer engagement and review. . Essential Experienced in
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or experience of using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential. Ability to communicate complex information clearly. Excellent ability to work as a team and
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Subject areas of particular interest may include: Machine and Deep Learning Data Visualisation Generative AI and LLMs Programming (Python, R, SQL) Databases and IoT Applied Statistical Methods You will also
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flow cytometry Experience in analysis of scRNAseq data using R Experience in working with human blood samples Previous experience in supervising/teaching students Downloading a copy of our Job
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their expertise in design engineering, digital simulation, and applied R&D. You’ll gain access to state-of-the-art facilities, tailored training support, and the potential for ongoing employment with the industrial
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tools (e.g. SPSS, R, NVIVO), mapping trail and community characteristics to understand how context affects outcomes. Furthermore, all of your skills and experiences in relation to research in the fields
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strong background in Biological Sciences, and a particular interest in biology. You will be experienced in using and teaching R Studio in a way that encourages and inspires students to embrace statistical