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fragments (e.g., JavaScript, Python, C#) to augment platform logic and address limitations Preferred Educational Qualifications An advanced degree from an accredited institution of higher education in a
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a closely related field with a focus on agricultural systems Solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support Robust experience with Python Proven
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platforms such as Docker and Kubernetes, as well as traditional HPC server administration. Strong scripting skills in Bash and Python are essential for automating workflows and maintaining system efficiency
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. Additional Considerations Experience in education, instructional design, or workforce development; programming experience (Python, JavaScript, or similar); experience building AI applications or automations
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, computational biology, data science, computer science, electronics, biostatistics, applied mathematics, physics, biomedical engineering, or related fields). Basic programming skills, including MATLAB and Python
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systems (Windows, macOS, Linux). Basic exposure to scripting or query languages (e.g., Python, PowerShell, Bash, or log query languages) sufficient to read or modify existing scripts or queries. Basic
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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high-level object-oriented programming and scripting languages, such as Python and/or C++ Experience developing embedded systems for consumer and aerospace industries. Understanding of SQL database
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for 12 months and is available from 1st October 2026. The successful candidate will be based in the School of Mathematics and Statistics at the Open University campus in Milton Keynes. https