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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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and play a key role in growing an internationally visible regenerative engineering team. For further information on The School of Engineering, please click here For full details about this vacancy and
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). Acceptable first degree: Natural sciences, Environmental sciences, Physics, Chemistry, Mathematics or a similar numerical subject. Mode of Study: Full-time Start Date: 1 October 2026 Funding Information ARIES
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mechanisms of the sexual conflict and its resolution. You will combine cutting-edge bioinformatics, genome engineering, and state-of-the-art sequencing technologies to: Identify and characterise consistent
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methods, and associated climate data analyses. You will acquire skills in science communication, project management and collaborative research, and will be involved in a project of critical interest
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Application deadline: All year round Research theme: Department of Chemical Engineering; research theme: advanced functional materials and analytical science How to apply: https://uom.link/pgr-apply
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first degree: Evolutionary Biology, Genetics, Conservation Biology Mode of Study: Full-time Start Date: 1 October 2026 Funding Information ARIES studentships are subject to UKRI terms and conditions
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21 Oct 2025 Job Information Organisation/Company The Institute of Cancer Research Research Field Biological sciences » Biology Medical sciences Mathematics » Computational mathematics Researcher
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, intelligent monitoring systems and predictive technologies have become essential competitive advantages. This project sits at the intersection of data science, engineering, and design innovation, addressing
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this, we will combine bacterial and phage genomics with clinical data, perform qPCR expression assays and assess prophage mobilisation potential in the laboratory. This will help inform public health