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countermeasures. The successful applicant will work closely with collaborators and co-investigators across multiple schools within SET on theoretical and algorithm development and implementation, assist
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, administration and the integration of databases with software systems via APIs. Experience with developing data pipelines, using Python and Postgres, experience with DevOps and deploying software in Azure, with
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leadership and mentorship to multiple teams. To be successful in this position, you’ll have experience in: Architectural Leadership: Define and drive the technical architecture and evolution of Azure-based
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and quantitative data, and the ability to select the right approach for the context. Proficiency in Python, SQL, or R is advantageous but not essential. Experience working in the higher education sector
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knowledge, skills and minimum of 5 years' experience with a commitment to ongoing professional development. Proficiency in programming languages including Python, JavaScript. Experience with Natural
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of research include integrating AI-enhanced weather forecasts with crop models, exploring tools to guide land allocation and nitrogen management, or developing dashboards that fuse multiple data streams