678 proof-checking-postdoc-computer-science-logic positions at University of Sheffield
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everyone feels they belong and are respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure
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continuous water quality measurement in rivers. This is in response to the national need to monitor wastewater overflow spills. The technology has the potential to be deployed to 1000’s of UK river locations
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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and check results. The unpredictability of research means that daily planning needs to accommodate new developments. Plan several months in advance to meet deadlines for journal publications and to
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Sciences; undertaking research of distinct originality, producing high quality research outputs, and developing a research programme with impact beyond the academy. You will work under the leadership of Prof
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, Research Software Engineering, and individual researchers. You may also have the opportunity to oversee the work of the Library’s Research Data Management Team. Main duties and responsibilities Provide in
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Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance
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., manuscripts for publication and grant applications. Plan for specific aspects of the research programme. If given a particular hypothesis to examine, plan for own contribution up to 3 months ahead
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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and treat remediation: a proof of concept and modelling analysis of controlling variables. Environmental Science and Pollution Research, 31, 27356-27374. https://doi.org/10.1007/s11356-024-32662-x [2