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evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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: search for the ‘Course Title’ using the programme code: 8040F select ‘Civil Engineering PhD (full time) – 8040F' as the programme of study You will then need to provide the following information in
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feed into a larger scientific endeavour. Good mathematical and communication skills are essential. In addition, the applicant should have good coding skills in Python or Mathematica, and/or the desire
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developmental biology The ability to code in multiple languages, for the purpose of generating user-friendly image analysis and visualisation workflows, and collaborative software development. Experience with a
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statement from your supervisor committing to support your finalization phase Compliance with the CoBeNe regulations for PhD candidates (agreement to the Code of Good Practice, FÖP within the first 2 semester
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work. The project will involve: Learning how to express software requirements precisely using formal models. Using these specifications to automatically generate test cases for software systems and code
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Strategy and a central 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
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Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and inclusive. We welcome and
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regulations, Approved Code of Practices and good practice guidelines Ensuring that all appropriate documentation is completed correctly, on time and in a tidy manner and recommending any changes to risk
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database (e.g., relational database) to store key workforce and service data developing reproducible workflows and code for extracting, transforming and loading (ETL) data into structured formats designing