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intelligence capability across the region. The role exists to ensure MRAC leaders, Recruitment, Admissions, Finance, and Senior Leadership have accurate, timely, decision-grade data to drive student recruitment
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Project advert This PhD will pioneer the first species-level monitoring framework using drone-based multispectral data fused with very-high-resolution satellite imagery (Pleiades Neo), powered by
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supporting our communications, administration and data management. Your work will help strengthen relationships with donors and partners and contribute to successful fundraising outcomes across two dynamic
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. To this end, the project integrates state-of-the-art knowledge from different disciplines such as algebraic topology, differential geometry, machine learning, and computer vision. You will conduct original
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administrative duties to support the team, including: data monitoring; establishing meeting agendas and the recording of meeting minutes; updating administrative systems and databases with accurate information and
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, running and adapting experiments, analysing and presenting data, and overseeing day-to-day organisation and compliance of the laboratory. This post is available from 01 May 2026 and is fixed-term for 2
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techniques such as flow cytometry, ELISA, western blotting and cell culture, and also in the analysis of data obtained with these techniques. Bioinformatic skills in scRNAseq analysis are a plus. The candidate
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research proposals Oversee the administration and monitoring related to progress of research projects, resolving financial problems, providing information and advice to investigators on the management
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, community fundraising and student projects. Operations and Experience: providing business intelligence, information and insight, governance and stewardship of supporter and alumni relationships, and managing
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landscape review of which health parameters are (or should be) monitored in Space, how they are measured today (hardware, protocols, frequency, data quality, anything measured in tandem and how/if AI based