25 web-programmer-developer-"St"-"UCL"-"St" PhD positions at University of Birmingham in United Kingdom
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, few people are trained in its operation. This PhD project will involve training on, and the further development of native mass spectrometry technology. The student will operate within the Advanced Mass
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Project Overview We are inviting applications for a PhD position focused on the development of porous materials for key challenges in decarbonization and thermal energy storage (TES). This project
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significantly from bulk solution and have interesting effects on the reactivity of encapsulated species. Within this project we are particularly interested in the development of hosts for catalysis and
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Project Overview This PhD project is part of an Innovate UK-funded research programme focused on developing a novel ammonia-fueled engine and generator set (genset) demonstrator for harbour and
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and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete
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engineering or physics (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research project, to train students
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of realising an optical-pump TeraHertz-probe polarisation-resolved near-field microscope, this PhD research programme will look at combining spintronic THz emitters and near-field photoconductive probes
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and equality, and to encourage better practice for all members of the community, whilst also working towards developing an equitable working culture in which all students and staff can achieve their
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identifying biomarkers associated with infection/inflammation. The PhD student will have a Personal Career Development Plan (PDCP) tailored to the student’s needs, detailing the study program, training
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problem is global in scope, affecting both developed and developing nations, and demands innovative, scalable solutions. This PhD project aims to revolutionize corrosion prediction by integrating physics