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Field
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monitoring through considering a wider area of the floodplain. Repeated detailed topographical surveys using a differential Global Positioning System (dGPS) will be used to quantify changes in geomorphology
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, multidimensional datasets is transforming marine ecology and redefining how we detect and respond to ecosystem change. Methodology This PhD will place you at the forefront of this emerging field. You will address a
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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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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, are crucial for modelling volcanic processes and are vital for understanding the transitions. Geophysical monitoring provides essential information to constrain these parameters and inform decision
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will be removed once the position has been filled. A highly attractive PhD studentship is available for application by end of November 2025 or as soon as the position is filled up, offering full fees
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experimental chemistry. Additional training in a wide range of soft and hard skills is available at the University. What you will do: This PhD project aims to bring together multi-scale modelling and data-driven
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PhD studentship: Predictive Modelling of Powder Blending in Continuous Direct Compression for Pharmaceutical Tablets Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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overall, 6 in each category). Mode of study Full time Start date 1 October 2026 Funding Information: This project is awarded with a 4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD
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with immune cells is key to developing new regenerative treatments. This PhD will develop an innovative joint-on-a-chip platform, a miniature engineered model of the knee joint that mimics physiological