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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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. This PhD will utilise thermodynamic modelling to obtain predictions of equilibrium and, where possible, non-equilibrium phases for a matrix of compositions covering flat rolled products including elevated
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Funder: EPSRC and Rolls-Royce Duration: 3.5 years from 1 October 2026 Supervisors: Prof Howard Stone Location: The PhD studentship will be based at the University of Cambridge in the Department
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in vivo disease models. The project will form part of a EC Marie Sklodowska-Curie Doctoral Training Network (LowDataML), which involves academic and industrial teams across Europe. Although based in
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Department/Location: Department of Biochemistry, Central Cambridge PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based
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Title: Disentangling and modelling behaviourally-relevant visual and semantic dimensions of visual cognition in the human brain (Kamila Maria Jozwik lab, the University of Cambridge)Application
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The Institute of Science and Technology Austria - ISTA is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for the PhD program. We offer fully-funded PhD
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PhD Position - Marie Curie network MetaExplore: Functional metagenomics - novel biocatalysts for a sustainable circular economy from ultrahigh throughput screening. A doctoral position is available
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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models remain limited to the world of standard dynamic range (SDR). This project seeks to bridge that divide, unifying methods and technologies designed for both SDR and HDR content-spanning still images