31 web-programmer-developer-university-of-liverpool PhD positions at The University of Manchester
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-Zhang (KPZ) universality class is a collection of models that includes the random growth of a surface over time or the behaviour of a large number of particles that move around in space and interact with
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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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, 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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/international students; European applicants are strongly encouraged to apply) at the University of Manchester, delivered in collaboration with Jungbunzlauer, a global leader in producing naturally derived
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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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air pollution and have been identified as an area for intervention in the latest Government Environmental Improvement Plan (www.gov.uk/government/publications/environmental-improvement-plan-2025
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date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. A 3.5-year PhD studentship in advanced NMR and data analysis is available in the University