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@sheffield.ac.uk . Next steps in the recruitment process We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date. If you need any support, equipment
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steps in the recruitment process We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date. If you need any support, equipment or adjustments
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) For informal enquiries about this job contact Arthur Clune at a.clune@sheffield.ac.uk . Next steps in the recruitment process We plan to let candidates know if they have progressed to the selection stage within
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Collaboration (UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the Neurology clinical academic training programme led by the Training Programme
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to other researchers in the same laboratory in related field of research. Read academic papers, journals and textbooks and attend conferences to keep abreast of developments. Plan for specific aspects
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demonstrate good knowledge of mathematics, numerical modelling, fluid dynamics and signal processing and be a proficient user of a programming language, e.g. Python or Matlab. Main duties and responsibilities
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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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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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virus serotype 9 (AAV9) based gene therapy approach to address the underlying pathogenesis of C9ALS/FTD. Experimental Approach: The plan is to develop a novel therapeutic cassette that can be efficiently
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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