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increasing digital content that can be translated into real-world skills. The Person You will hold a 2.1 or above BSc (Hon) degree in a relevant bioscience subject, and familiarity with the R coding language
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and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and computational teams Desirable criteria Experience supporting
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conducting and reporting epidemiological studies using real-world data is essential. Proficiency in using statistical software packages such as R, Stata, SAS, or Python is also required. Strong organisational
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to assist in the delivery of the ambitious Research and Knowledge Exchange (R&KE) sub-strategy within the University’s Strategy 2030. GRI is structured to support all aspects of the project cycle from
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developing and applying statistical or machine learning models to real-world data Strong coding skills (e.g. in R, Python, or C++) and familiarity with collaborative software development Can work independently
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immunohistochemistry, microscopy and live cell imaging. Essential Application Experience in image analysis or bioinformatics analysis. Essential Application Knowledge of programming languages, e.g. Python/R, and the
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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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, building and managing partnerships and developing relationships with creative industries stakeholders for Creative industries R&D and the wider CoSTAR Network. You will work closely with CoSTAR teams
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Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software engineering and technical R&D are at the core of this endeavour. We
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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