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university. See https://www.brunel.ac.uk/research/Centres/Pollution-Research-and-Policy for more information. What you’ll lead A skilled technical team delivering high-quality support to staff, students and
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refer to the Candidate Information Pack. For further information, please see the choir website: https://www.jesus.cam.ac.uk/chapel-and-choir . For an informal discussion about the post, please email
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to plan and prioritise workload to meet operational and compliance deadlines. C7 Significant relevant work experience in a similar environment, including evidence of professional development. C8
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
technological progress. Subject areas: Business, Computer Science, Economics, Environmental Sciences, Finance Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding
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should hold, or expect to complete by September 2026, a Master’s degree in Economics, Finance, Statistics or Computer Science, and have at least a 2.1 or equivalent in a relevant undergraduate degree. The
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with and under the guidance of the CPP Director: 1. Plan and conduct assigned research tasks in line with project deliverables. 2. Map key outputs and timelines in relation
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supervising and supporting junior staff, you will be intellectually involved in the research programme, keeping updated on state-of-the-art techniques and developing external contacts to form relationships
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-known ranking organisations such as Quacquarelli Symonds (QS), Times Higher Education (THE) and U.S. News & World Report, PolyU offers a wide range of world-class educational and research programmes in
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-known ranking organisations such as Quacquarelli Symonds (QS), Times Higher Education (THE) and U.S. News & World Report, PolyU offers a wide range of world-class educational and research programmes in
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tackling foraging tasks, to work out which algorithm best explains how foragers decide to leave. You will have some experience in computational modelling of behaviour, such as decision-making models