62 data-"https:"-"https:"-"https:"-"Inserm" PhD positions at Newcastle University in United Kingdom
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview Data centres are among
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PhD Studentships in Statistics, Data Science and Machine Learning Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Overview The
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PhD studentship in Trustworthy Multimodal AI under Lightweight and Data-Efficient Architectures Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26
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intelligence (AI), which integrates diverse information sources including tabular, imagery, linguistic and acoustic data, has shown transformative potential in domains such as healthcare, environmental
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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. Geotechnical site investigations (SI) may cost up to £500,000 per borehole, introducing significant financial and scheduling risks. Suboptimal data collection can increase costs, require additional surveys, and
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. Geotechnical site investigations (SI) may cost up to £500,000 per borehole, introducing significant financial and scheduling risks. Suboptimal data collection can increase costs, require additional surveys, and
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. Moreover, a 12-week placement and regular meetings with Syngenta will give the student first-hand experience of research in a world-leading industrial setting. For more information about research in
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, and/or data analysis, to address topics related to one of: Understanding depth-related plasticity in the physiology and behaviour of mesophotic reef fish. Identifying depth-related changes in
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible