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, or the equivalent qualifications gained outside the UK. Experience in coding in both Python and R is essential.
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, applicants should be eager to develop strong coding skills as part of the project. Ability to work both independently and collaboratively in academic and industrial settings. How to Apply Submit the following
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performance and will guide the development of superior CO2 conversion photo/electro-catalysts. Candidates should submit a formal DPhil application (course code: RD_CY1A), following the links by clicking
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and manage independent research • Ability to set research goals, be self-motivated and proactive • A keen eye for visual presentation, software design, and in writing clear, concise, elegant code
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code based on Modified Newtonian aerodynamics and a coupled, nonlinear thermo-structural finite element solver. Supervisors: Professor Matthew Santer, Dr. Paul Bruce. Learning opportunities: You will
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the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code
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Sciences, and Mathematics. Experimental experience in fluid dynamics and/or knowledge of any CFD codes would be an advantage, but not required as full training will be given. How to apply: Candidates should
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the 'Apply' button, above, quoting code MPB50490525. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up
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coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will be provided. Why This Matters Efficient storage technologies are essential for a carbon
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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