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Department: Materials Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Application deadline: 15/09/2025 Research theme: "Materials
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London School of Economics and Political Science | London, England | United Kingdom | about 1 hour ago
. Closing dates: 14 January 2026 (10 December 2025 for Economics, Gender Studies, International Development, Law and Sociology) For further information on funding opportunities at LSE, deadlines and details
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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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, 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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question. A CV Two academic references Transcripts (previous qualifications) Please mention that you are applying for CEIS, Evidence Based Surgery PhD studentship within your application. Full information
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21 Oct 2025 Job Information Organisation/Company The Institute of Cancer Research Research Field Biological sciences » Biology Mathematics » Computational mathematics Researcher Profile First Stage
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King's College London Department of Engineering | London, England | United Kingdom | about 9 hours ago
to apply Website https://www.kcl.ac.uk/study/postgraduate-research/areas/engineering-phd Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Additional Information Work Location
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@nottingham.ac.uk . Please also contact this email for further information and an informal discussion regarding the PhD. The deadline for applications is the 21st November 2025. This is an excellent opportunity
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Funding Source: EPSRC DTP Supervisors: Professor Tony McNally Supporting Company: Roxel Ltd Start date:1st October 2025 Project Overview: The aim of this PhD is to investigate RAM formulation
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join