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Deadline: Monday 15th December, 2025. Competition funded PhD Project. Supervisors: Prof David Dockrell (The University of Edinburgh), Dr Brian McHugh (The University of Edinburgh), Dr Clark Russell (The University of Edinburgh) About the Project Macrophages are key innate immune cells with...
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looking for a researcher with computational expertise, who is interested in integrating and assessing transcriptomic (single cell/nuclei, long-read), proteomic and metabolomic data derived from human
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collaboration across fields, institutions, industry, and society to tackle questions that no one could answer alone. As a postdoc, you’ll be part of a dynamic environment that values your individual expertise
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Nilotic” (Nilomorph). The postdoc will be responsible for conducting descriptive research on the Burun languages within the wider West Nilotic group, resulting in analyses of the sound system and
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are invited to apply. However, a research program taking a transnational/global history approach or linking the Asia and Pacific regions will be an advantage. In addition to developing their own research
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A fully funded four-year PhD position is available to work on the project titled “Fault-Tolerant Architectures for Superconducting Qubit Quantum Computers”. This position is a collaborative
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at the University of Edinburgh. Candidates currently studying outside of China are eligible to apply, but not those who have already commenced a PhD programme of study prior to the 2025-2026 academic year. The
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methods Programming with Python/Matlab The training programme will prepare the candidate for a broad range of career paths in academia, industry, and beyond. They will also participate in outreach
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
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Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing