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Field
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and use innovative approaches to identify and characterise the chemical and physical interactions between cells that result in inhibition of detrimental fungi. This bioprospecting project will utilise
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Overview: Cranfield University and Magdrive, offer a fully funded PhD position under the umbrella of the R2T2 consortium to study the optimisation of their thruster for a kick stage. R2T2 is a UKSA
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of mathematics, statistics, data science and physics to make real impact outside of academia and to interdicsiplinary research. NU Solve also operates a drop-in clinic for University staff to get help with
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ADTKD diagnostics and clinical trials. What you’ll do You will work at the interface of laboratory and data science, and clinical genetics. You will: Establish and characterise the UK ADTKD-MUC1 cohort
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fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme! How does it work? Candidates will study for a four year, full time funded PhD
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sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
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studentship include? This is a fully funded PhD studentship which includes fees and stipend. Eligibility criteria Entry requirements: A Bachelor of Science degree in 2:1 or above and/or master's degree in
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This fully funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA) and RES Group, offers a bursary of £25,000 per annum, covering full tuition fees. The project focuses
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. The successful candidate for this PhD position will be involved in the experimental and theoretical development of a new technology called Surface Nanoscale Axial Photonics (SNAP), which will enable
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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