12 algorithm-development "Delft University of Technology" PhD positions at The University of Edinburgh
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for selecting high-quality oocytes and predicting embryonic/pregnancy outcome is still lacking. The aim of this project is to develop a non-invasive tool for screening and selecting oocytes with the highest
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. This could provide us with new targets to improve vaccine responsiveness and the effective development of immunological memory. This project will use in vivo animal studies to block or enhance noradrenaline
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interactions between oncogene-expressing cells and innate immune cells in vivo and demonstrate that host innate immune cells support early tumour development. However, direct contacts and interactions between
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Deadline: 27th February 2026 One fully funded, full-time PhD position to work with Dr. Eleonora D’Arnese at the School of Informatics, University of Edinburgh. The aim of this project is to develop
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Morphing is a ubiquitous feature in nature: from the growth of plants to embryos evolution to wing adaptation in birds, shape-change is a fundamental aspect of the biological matter itself. What
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to work at the NQCC to apply their research within the national labs framework. This position is part of an annual NQCC cohort of 6 collaborative studentships, in which the projects have been co-developed
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PhD Studentship - EASTBIO - The Impact of Diet-microbiome-immune Interactions on Intestinal Function
play critical physiological and pathological roles in both health and disease, for example, by mediating bone development, regulating immune cell function, and driving inflammatory responses such as
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with spatial and temporal resolution to understand bone marrow evolution during ageing. The successful candidate will assess the interplay between niche vascularity, oxygen availability and
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of energy geostructures with other underground structures. GENIUS will address all three challenges by developing advanced analysis and design tools for energy geostructures (WP-1) and by advancing practical
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. The aim of this project is to develop multimodal generative AI for embodied collaborative agents. This project aims to create AI agents capable of seamlessly collaborating with humans and other agents in