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(including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose
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PhD Studentship: Open Radio Access Network (ORAN) for Distributed Edge Computing Orchestration in 6G
Language Models (LLMs). Orchestrating AI/ML pipelines in 6G. Developing certification and checking processes for code inside ORAN 6G. The research will be a combination of software engineering, radio
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of (or aptitude to learn) quantitative data analysis and coding (e.g. R). Or a background in computer or data science who can demonstrate their ecological or natural history knowledge. Candidates should have a
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Models (LLMs). Orchestrating AI/ML pipelines in 6G. Developing certification and checking processes for code inside ORAN 6G. The research will be a combination of software engineering, radio
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/directory/egegpdfib (via the 'Apply' button above) stating course code EGEGR3 with Project: Enabling a natural capital approach to infrastructure transitions with Dr Edoardo Borgomeo. The University actively
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or second-class honours degree in engineering, physics, mathematics, computer vision, or a related field. Interest or experience in computational modelling or coding—beneficial but not required. A
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computational elements, and some coding experience in a programming language (e.g., Python, MATLAB, Julia) are essential. The successful candidate will be supervised by: Dr Michael Short (https://www.surrey.ac.uk
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experience in computational modelling. It will involve the use of open-source computational fluid dynamics codes, with turbulence modelling and porous media approaches. It will also require the development
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will bring to the role. You will need to apply for the PhD in Psychiatry, course code MDPS22, and name Dr Carrie Allison and Prof Simon Baron-Cohen as the supervisor. For the Statement of Purpose ¿ you
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state beyond a certain speed. Although predictions of sub-synchronous vibrations with current codes have shown good correlation with experiments under controlled lab conditions, this was only up to a