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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms
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engineering, advanced characterisations, and computational studies to understand reaction mechanisms for NH3 and NOx conversion. You will have opportunities to collaborate with scientists at the UK and
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systems of differential equations. The resulting models will be analysed with analytical tools from applied mathematics and numerical studies in the Julia programming language. The successful candidate
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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Computational Chemistry methods to model enzymes and polymers. Designing and optimising novel biodegradable polymers. Integrating novel AI tools into the discovery process for new polymer candidates. Project
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systems, and engage in joint projects with green electronics laboratories across Europe and Asia. The programme supports attendance at major conferences like ISLPED, ICCAD, and PATMOS, and includes
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requirements can be viewed on the relevant programme page here . Nationality restrictions This funding is available to all nationalities. Application procedure Apply for a place on the PhD programme of
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the International and the Home tuition fee for the duration of the PhD/Professional Doctorate programme. Successful candidates will be charged fees aligned to the UK rate per year. The scholarship will be offset
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English language proficiency proof (if applicable). After discussion, you may be invited for an interview. What the PhD Programme Offers: This PhD will include the payment of Home tuition fees as