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predictions and to generate hydrological forecasts. The RF will be part of a research environment with strong ML activities. The post is mainly part of the project ‘HEavy Precipitation forecast Post-processing
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and source data from internal and external sources in order to contribute to wider projects. You will be expected to use a variety of complex University systems and processes to research, analyst and
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and TypeScript / JavaScript, although development of established applications and extensions of third-party products may include the use of Python, Rust and other languages. Process automation and one
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require initiative and an independent risk assessment, whilst also applying the relevant escalation processes. A large part of the role entails interacting with students, listening to their concerns and
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outgoing visits and academic talks across the Colleges Guiding applicants and staff at pathway provider colleges through the University’s application process and, working with colleagues from Admissions and
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to operate outside of the standard working hours during term time due to the timetable driven nature of the post (with Time Off In Lieu) and help to ensure that local and University Health & Safety policies
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wellbeing-related queries as well as managing key processes such as Under-18 Safeguarding and management of the Wellbeing input into student engagement reports. The role provides proactive and professional
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the potential to impact on protected groups and take appropriate action. Desirable Skills: Experience with machine learning or natural language processing. Knowledge of econometric methods for policy evaluation
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discriminatory impact or bias on others. Required Knowledge, Skills, Qualifications, Experience GCSEs to a minimum of grade C/4 in English and Mathematics grade C/4 minimum (or equivalent level 2 qualification
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Food Safety Regulations. Change nappies and help children with potty/toilet training. Help children to learn social, emotional, numeracy, language, and practical skills. Work with staff within