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                develop a robust, new methodology for assessing future drought risk. It will use a wide range of climate projections (UKCP, CMIP6, and SMILES) and physically-based river models to generate a wide range of 
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                Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8201F The Research Area is: Physical Geography Select PhD Civil Engineering (full 
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                . Development of novel processing techniques Modelling techniques that can inform the direction of experimental activity Physical, mechanical and materials characterisation techniques Data-driven approaches 
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                subject (for example physics, mathematics, or computer science) but experience of cell or molecular biology is highly valued. A strong interest experimental cancer biology is essential, but prior wet-lab 
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                to how well they meet the following criteria: A first class (or strong 2:1) degree in any of Engineering, Materials Science, Computer Science, Physics, Biology/Biotechnology, Chemistry/Biochemistry 
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                The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme 
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                quality, diversity, and biological relevance using standard metrics and expert review. Anonymised digital images from tissues in biobanks will be used to train generative models on university computing 
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                our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically 
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                observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous 
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                bioprinting, materials characterisation, and computational modelling to replicate and quantify biomechanical conditions. Number Of Awards One Start Date January or April 2026 Award Duration 4 Years Application