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project management, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, Oxford, OX1 3TA and is
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multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, OX1 3TA and is available from October 2025. Application
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academic staff and postdoctoral researchers from over 20 different countries. Our research aligns with the needs and challenges of industry and society. We achieve this by advancing knowledge in: advanced
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achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
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partners to ensure alignment of research goals with user needs. This is a full-time post, and you will be offered an a fixed term contract for a duration of 23 months. The desirable start date is October
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activities that are aligned to both our values and commitment to EDI. We welcome and encourage applications from those who are currently under-represented in our work force, including people with disabilities
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, work and live in a community which is supportive and inclusive. It’s important to us that all colleagues undertake activities that are aligned to both our values and commitment to EDI. We welcome and
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interdisciplinary research including experimental field trials, social research, and ecological monitoring across multiple sites. The post-holder will lead the project’s ecological research components and contribute
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multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory and is available from 1st October 2025 (or earlier). Applications
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complex qualitative and/or quantitative data from a variety of sources, and contribute original ideas for new research projects. You will coordinate multiple aspects of work to deliver novel research data