42 coding-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Keele University
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ability to design and deliver innovative curricula that prepares students for success in a data-driven global environment. They will provide leadership in programme development, enhancement, and
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growing team in Keele University’s School of Computer Science and Mathematics. The School delivers high-quality education across computer science, data science, mathematics, and aligned specialist areas
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central role in delivering field and analytical components of the project, including hibernation and maternity roost monitoring; acoustic data collection and processing; the integration of environmental
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, structured/telemetry, audio and vision-language data. The post holder will develop and run Large Language Model (LLM) evaluation pipelines, implement adversarial and robustness testing, prepare and
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will contribute to the development of teaching materials, set and mark assessments, supervise student projects, assess student progress and provide constructive feedback to students. You will be
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programmes. You will be involved in developing teaching materials, setting and marking assignments, supervising student projects, assessing student progress and providing feedback. You will be provided
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School’s Biostatistics team and the Keele Health and Care Data Research Network on a study funded by Muscular Dystrophy UK. You will have a PhD in epidemiology, biostatistics or other related subject with a
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, ensuring data is converted to actionable insight for service design and change. Critically you will work across services to map customer journeys and engage a wide variety of stakeholders carefully
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organising meetings and undertaking all associated administration, as well as experience in generating reports and handling data. The Benefits The University recognises that its success depends upon the
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laboratory, field and teaching activities, providing technical advice and training, maintaining equipment, and assisting with the collection and analysis of environmental and spatial data. You will also