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in these elements leads to common and rare disease. You will work with large scale genome sequencing datasets (e.g. UK BioBank, 100,000 Genomes Project, gnomAD) and RNA-Seq data, adapting and applying
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related to own role, to enable cover in absence. Provide cover for elements of work undertaken by colleagues during absence. As a member of our Professional staff you will be expected to demonstrate a
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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teaching programmes, which will include identifying learning objectives and selecting appropriate curricula, selecting teaching methods, resources and reading, designing and producing study material using
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with the introduction of new research methods and procurement of new equipment, encouraging a pro-active approach towards sustainability and carbon reduction. Digital Learning Support Work with the
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boron-containing heterocycles - cyclic compounds which contain one or more boron atoms. The aims of the project will be to develop chemical methods to prepare the new organoboron compounds, and explore
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participate in any element of the recruitment process you can contact Jennie Young on j.l.young@sheffield.ac.uk who will be able to assist.. Our vision and strategic plan We are the University of Sheffield
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. Johnson Matthey, a FTSE 250 organisation, is a global leader in sustainable technologies specialising in catalysis, precious metal products, chemicals and process technology. With operations in over 30
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accurately collecting data with subsequent robust analysis using appropriate statistical methods. Essential Application/interview Ability to update and acquire new skills and knowledge in line with advances in