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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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To contribute and support research funding bids as required To analyse and communicate complex ideas, concepts and data using appropriate methods and packages To resolve issues and support colleagues in devising
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science methods or mixed social science methods. The successful candidate for either position will be expected to engage in advanced study and academic research, to teach and supervise graduate students
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are providing corresponds with the numbered criteria outlined below. Your application will be considered based on the information you provide under each element. When attaching the supporting statement
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To contribute and support research funding bids as required To analyse and communicate complex ideas, concepts and data using appropriate methods and packages To resolve issues and support colleagues in devising
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in developing, enhancing and evaluating the impact of the University activities that support the Teaching Excellence Framework (TEF). It will also be an essential component, working in partnership with
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, concepts and data using appropriate methods and packages To resolve issues and support colleagues in devising procedures required to ensure accurate and timely reporting To generate research output and
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embrace the full diversity of methods and data available to the discipline. We are further developing our core undergraduate programmes and will be recruiting world leading staff accordingly to ensure
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have a particular focus on the social science component of the project. This will include stakeholder mapping, institutional analysis and engaging with theories of environmental justice/equity and place
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, focus group and co-creation methods. Experience of evaluating and synthesising research findings. Excellent communication, organisational and presentation skills.