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Sellafield Ltd, and be part of a comprehensive doctoral training programme in this area at The University of Sheffield, led by the primary supervisor Dr Brant Walkley, in collaboration with Sellafield Ltd. and
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second class honours degree or significant research experience. Candidates must have a first or upper second class honors degree or significant research experience. A background in computer science
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sets, plan and execute large scale computational analyses, compile and present results, contribute to writing publications, present at lab meetings and conferences and contribute to other activities in
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programming language (assessed at: Application form/Interview) Essential Application and Interview Experience with laboratory work and good understanding of acoustic sensor technology (assessed at: Application
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complex specifications using using query languages such as SQL (Application / Interview) ● Experience in data cleaning and linkage of datasets in a programming language (R or Python) (Application
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or upper second class honours degree or significant research experience. Candidates must have a first or upper second class honors degree or significant research experience. A background in computer science
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview
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of numerical methods for solving scattering problems and inverse problems (assessed at: application and interview) Proficiency in scientific programming languages, Julia or Python (assessed at: application and
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and other highly technical problems. Collaborate with colleagues from multiple teams to plan workload and resources to fit project timescales. Research into novel technology to advance knowledge
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legal requirements. Commit to the training programme to develop the skills in a range of scientific techniques and the correct operation of basic laboratory equipment to successfully assist others in