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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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equivalent, in a subject relating to biology/bioinformatics/data sciences Competency in using bioinformatic software packages MRes in a relevant discipline and previous experience in handling transcriptomic
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team and the School of Education, Communication and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and
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PhD in a relevant discipline to the project: social science, anthropology, chemical or biomedical engineering Experience with qualitative research methods (e.g., ethnography, qualitative interviews
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been collected in Malawi under a joint agreement with the Government of Malawi, with field phenotype data, genomic sequencing data obtained in the UK, and micro-CT scanning data being also collected
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Applications are invited from UK students for a three-year PhD studentship funded by the NIHR Nottingham Biomedical Research Centre, School of Medicine. The PhD project is clinically focused towards
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the programme code: 8080F Research area: Statistics Select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A
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Application deadline: 15/08/2025 Research theme: Computer Science No. of positions: 1 Eligible for: UK This 4-year PhD project will be funded by DLA studentship and is open to UK students
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candidates will have a PhD (or equivalent experience) in Computer Science, electrical engineering, or other related quantitative subject. They will have a strong understanding of computer science (hardware and
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sits at the cutting edge of materials science and solid mechanics, using real-world microstructure data to simulate thermo-mechanical behaviour at the grain scale. Your work will form a key part of a