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expertise computational model development. Candidates who have not yet acquired their PhD would be appointed at the Research Assistant level. What we can offer you: The opportunity to advance our
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group at meetings. • You will also have a strong publication record in a related field, and possess sufficient specialist knowledge in the discipline to work within established research programmes
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appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester
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. The successful candidate will have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a
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experiment will be an advantage. Candidates are expected to demonstrate the ability to communicate effectively, plan and execute research activities, and work in a team. Please direct enquiries about the role
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Education, or be working toward or holding a doctorate in a relevant specialist discipline. They will also possess sufficient specialist knowledge to work effectively within established research programmes
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research methods and techniques to work within established research programmes This is a full time (35 Hours per week), and you will be offered a fixed term contract until 31/08/2028. About You To be
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Applications are invited for a Postdoctoral Research Associate in the Department of Computer Science with a particular emphasis on the design and performance analysis of resource allocation
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. They will have experience with plants, microbiomes, and bees/pollinators. Key accountabilities / duties You will: Design and execute controlled plant growth and stress-response programmes across model crops
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This post is part time (21 hours per week) and fixed term from 13th July 2026 until 4th May 2027. We have an exciting opportunity for a Research Assistant/Associate to work with Professor Jennifer Smith on the project “Discriminating Dialects: Mitigating Bias in Automatic Speech...