50 software-engineering-model-driven-engineering-phd-position positions at Newcastle University
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reprogramme stromal cells, including cancer-associated fibroblasts (CAFs), enabling them to suppress anti-tumour immunity and promote therapy resistance. This PhD project will investigate how hypoxia regulates
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PhD-studentship in Applied Mathematics / Quantitative Ecology: Wind‑Assisted Dispersal of Insect Tree Pests: An Interdisciplinary Modelling and Ecological Study Award Summary 100% home fees covered
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equivalent in a subject relevant to the proposed PhD project (e.g., mathematics/statistics, engineering, quantitative ecology/biology). A Masters qualification in a relevant subject area will be advantageous
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PhD studentship in Chemical Engineering - From Natural Pyrogenic Carbon to Engineered Biochar: Understanding Carbon That Lasts’ Award Summary 100% fees covered, and a minimum tax-free annual living
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or international equivalent in a subject relevant to the proposed PhD project. Due to nature of this project, the candidate should have a strong background in Engineering, especially chemical engineering or another
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PhD studentship: Engineering Bioinstructive Materials to Guide Immune–Bone Regeneration Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
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EPSRC ReNU+ CDT PhD Studentship: Representative Elementary Volume fluid dynamic modelling for sedimentary geothermal production Award Summary 100% fees covered, and a minimum tax-free annual living
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PhD in MEM-3D: Membrane Engineering with 3D Printing for Advanced CO₂ Separations Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
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programme of study: Search for the ‘Course Title’ using the programme code: 8060F Research Area: Electrical and Electronic Engineering Select ‘PhD Electrical and Electronic Engineering (full time)’ as the
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learning to quantify uncertainty and forecast potential faults. c) Trustworthy Autonomous Recovery: Autonomous self-healing must be verifiable; this challenge is met by designing AI-driven decision engines