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for Digital Enablement (CoDE) drives the initiatives to elevate digital competencies for academic staff and students within SIT. It works with various stakeholders, both internal and external, in upskilling
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a team delivering a high quality customer experience. Ability to learn and understand how diversity considerations affect own area (eg dietary requirements/dress code). Dimensions You will not
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part of everything we do. We also live by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in
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responsible for the development of the code numerics, complex fluids and multiphase flows branch of the solver. Concluding the project will be using a Lagrangian discretisation scheme applicable to free-surface
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mechanics. It is essential that the successful applicant can directly translate mathematical models to code (rather than directly apply FEM software) since the long-term objective is to translate the methods
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Intelligence Preferably, experience with Vibe coding and GenAI such as Claude, Copilot and ChatGPT, Business Intelligence and Data Visualisation, using tools like Power BI, SQL (ideally PostGIS or other spatial
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and qualitative coding of data sources for analysis. Writing up of findings for contribution to academic publication. Collaborative work across the University of Nottingham and with international
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, Python or other coding languages. Willingness to work as part of a team and to be open-minded and cooperative. Desirable criteria Background knowledge of neuroscience, biological sciences, or a closely
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Demonstration of relevant outputs (e.g. publications, code, etc.) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability
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licensing, security, health, safety, environment and wellbeing, financial and other University policies, procedures and codes as appropriate. To provide a service to customers during arrivals / departures