15 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"Embry-Riddle-Aeronautical-University" positions at Newcastle University in United Kingdom
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PhD Studentship in bioinformatics and cardiovascular biology - Exploring the application of geocomputational methods to high resolution spatial transcriptomics data from the human heart Award
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to analyse next-generation spatial transcriptomics data, advancing our understanding of cardiac ageing and disease. Background: Spatial ‘omics methods measure gene or protein expression in their native context
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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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Strategic Planning for the Integration of AI Data Centres into Energy Networks Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
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today’s digital age, we continuously share personal data dozens of times daily—yet 88% of UK consumers want more control over their information, and 42% felt they had no control over their personal data in
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study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement directly in to
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· leave the ‘Research Area’ field blank · select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a
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under 26 NB: If you are already studying for or hold a British degree or degree-equivalent qualification, you will not eligible to apply for a Marshall Scholarship. How To Apply For further information
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simulation experience; collaboration with leading researchers; and training in advanced characterisation, data analysis, and data interpretation. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4
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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