30 web-programmer-developer-university-of-liverpool PhD scholarships at The University of Manchester
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universality within the KPZ class of models. The classical example of universality is the frequent appearance of the normal distribution in nature. This is justified mathematically by the central limit theorem
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the length of the longest increasing subsequence in a randomly chosen permutation. This project will study universality within the KPZ class of models. The classical example of universality is the frequent
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also be paid. We expect the stipend to increase each year. We recommend that you apply early as the advert will be removed once the position has been filled. The Kardar-Parisi-Zhang (KPZ) universality
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manufacturing adaptive clothing at scale. This PhD project seeks to address that gap by developing an engineering-led framework for adaptive and inclusive apparel design. Bringing together design process thinking
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-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced
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, through specific experimental arrangements during the PhD project. This PhD is fully funded by the University of Manchester as part of their commitment to support a recently successful BBSRC-Arxada award
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4 Nov 2025 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science » Computer systems Researcher Profile First Stage Researcher
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appreciated, but are not mandatory. Outstanding candidates with a Bachelor’s degree from a four-year undergraduate program are also encouraged to apply. Paper publication is not mandatory, but a high-quality
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conditions. This project aims to develop a new control framework that enables embodied decision-making in autonomous swarms, allowing them to operate with resilience, reliability, and adaptability. The work
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generation and evolution under controlled variations in bathymetry and bed roughness, and will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real