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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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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
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such as SQL (Application / Interview) Expertise in data cleaning and linkage, with experience in the storage, extraction, manipulation of complex datasets in a programming language (R or Python) using
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line with project objectives. Plan and conduct ecological monitoring fieldwork in three English cities, utilising novel instrumentation and tried-and-tested sampling methods (vegetation, birds, insects
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programme in this area at The University of Sheffield, led by the primary supervisor Dr Dan Geddes, and co-supervisor Dr Brant Walkley, in collaboration with Sellafield Ltd. and National Nuclear Laboratory