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in mineralogy, geochemistry, material properties and big-picture Earth Science questions. If your first language is not English, you will need to meet the minimum English requirements for the programme
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for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. Successful candidates who meet UKRI’s eligibility criteria will be awarded a fully-funded ARIES
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226708 Is the Job related to staff position within a Research Infrastructure? No Offer
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scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits
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. genetics, molecular biology, evolutionary biology) or a quantitative science (e.g. computer science, statistics, physics), and have strong interests in genomics, data analysis and evolution. The Norwich
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2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby
Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226708 Is the Job related to staff position within a Research Infrastructure? No Offer Description GENIUS is a Marie Sklodowska-Curie
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Application ’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net
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Positions Country United Kingdom Application Deadline 7 Jan 2026 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing