23 software-engineering-model-driven-engineering-phd-position positions at QUEENS UNIVERSITY BELFAST
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PhD in a related discipline. Has at least 3 years’ research experience in evidence synthesis. Has a publication record commensurate with stage of career. Has experience of using statistical and software
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, adaptive reuse, heritage, education, digital technologies and community-led environmental transition, creating scalable models with national and international relevance. The post is a critical role, and as
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impact of innovation and productivity to grow business opportunities and create economic wealth.In this role, you will be a horizon-scanner, market-shaper and thought leader, ambitious for positioning AMIC
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wide range of topics. About the person: We are looking to hire someone with experience of evidence synthesis who: Has or is about to obtain a PhD in a related discipline. Has at least 3 years’ research
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. Coordinate and carry out complex experimental studies using mouse models of cancer, under the direction of PI and research staff. To have operational oversight and day to day organisation of the laboratory
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and Languages, contributing to the development of teaching and research in Irish language and literature. The position offers an opportunity to make a significant impact on the academic experience
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application should clearly demonstrate that you meet the following essential criteria: Honours Degree in Psychology or related discipline. Hold or about to obtain a PhD in Psychology, Epidemiology, Statistics
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related to staff position within a Research Infrastructure? No Offer Description About the job: The purpose of the job is to be an active member of the research project on the history and current impact of
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’ application for Lecturer (Research and Education) should clearly demonstrate: A completed PhD (or very close to completion) in Accounting or a related discipline. An established programme of research activity
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candidates' application for Lecturer (Research and Education) should clearly demonstrate: A completed PhD (or very close to completion) in Actuarial Science, Finance, or a related discipline. An established