12 programming "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at ; in United Kingdom
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the role please visit our website https://lfs.org.uk/about/ where you can download a copy of the job description and our equal opportunities monitoring form. We offer a highly competitive staff
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We are seeking an outstanding ecologist or environmental scientist with expertise in spatial ecology, ecosystem science or ecological modelling to lead an ambitious programme of applied ecosystem
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quantitative field. Strong proficiency in Python programming, specifically for building interactive data dashboards (e.g., Streamlit, Plotly Dash) and processing spatial data (e.g., GeoPandas). Demonstrated
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Assistance Programme And many more For an informal discussion, please contact Ian Sanderson (Business Intelligence and Data Lead) on [email protected] To apply, please view the job description and person
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needs of the 2nd industrial revolution, we’re now in Year 5 of our ground-breaking 10-year Vision 2028 strategic plan , orchestrated by our Vice-Chancellor and President, Professor Amanda Broderick. Our
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. Professorial status or eligibility to be awarded Professorial status Well-developed research plan with published research of international excellence, with clear evidence of quantity and quality of research
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Performance and other Course Leaders in the programme area. The role includes leadership, management and promotion of the BA (Hons) Fashion Communication and Promotion (FCP) and BA (Hons) Fashion Marketing and
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information governance maturity from the ground up. This role will manage and deliver key workstreams within the University’s information governance programme, helping to put practical processes in place to
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and Technology. This is a full-time role (5 days per week) on a fixed-term contract for one year. In this role, you will: Plan and deliver engaging seminars and lectures, inspiring and supporting
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best practice, embed insights from research and contribute to ongoing programme improvement by testing new approaches and incorporating evidence into future iterations. This is an opportunity