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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible
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Title’ using the programme code: “8100F” select ‘PhD Chemistry (full time) - Chemistry' as the programme of study You will then need to provide the following information in the ‘Further Details’ section
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chemistry and biology, providing a highly desirable skill-set enabling research at the chemistry-biology interface. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Application Closing
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community, and support long-term societal impact. We welcome applicants from background, including but not limited to computer science, data science, engineering or mathematics, who are passionate about
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degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Geoscience, Civil Engineering, Physics, or Computational Science). Enthusiasm for research, the ability to think
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relevant to the proposed PhD project (e.g. Applied Mathematics, Physics, Mechanical or Chemical Engineering). Enthusiasm for research, the ability to think and work independently, excellent analytical skills
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an international supervisory team. Depending on your current and desired skills and interests, your PhD will combine fieldwork, lab-work, and/or data analysis, to address topics related to one of: Understanding
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of Engineering, Newcastle University , this PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT Number Of Awards 1 Start Date 28 September 2026 Award Duration 4 years Application Closing
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-based modelling with data driven surrogate approaches. The first stage of the project will involve the development of a multi-layer hydrodynamic model capable of representing key three-dimensional flow