423 algorithm-development-"The-University-of-Edinburgh" PhD positions in United Kingdom
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Field
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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engaging outputs which explore what constitutes an end, who should decide and what should happen after. This is an exciting and varied role that involves developing and delivering the research objectives
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and develop an improved design and maintenance framework for long-term performance and climate resilience. The project will assess the influence of various slope drainage systems on pore pressures
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, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively-controlled structural colours
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sustainable aviation fuel (SAF), and importantly, hydrogen. Plastics are comprised of numerous polymers, thus the products of each vary through chemical recycling processes This project seeks to develop an in
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at higher risk offered PSA blood tests which are not definitive. Our research aims to develop an image-based approach to screening, combining PSA testing with MRI to better identify aggressive cancers
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engaging outputs which explore what constitutes an end, who should decide and what should happen after. This is an exciting and varied role that involves developing and delivering the research objectives
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ultrasound. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions
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functional features that enabled them to respond to environmental cues, including temperature, pH, light, magnetic fields, and ultrasound. This project will develop the materials, methods, and designs
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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