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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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experience with programming tools such as R or Python. An interest in acquiring new data science and programming skills is required. A keen interest in teaching and academic development. An excellent academic
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reactor designs. This will involve some work with Matlab or similar program to quantify mixing systems that can effectively produce MOFs. We are looking for a graduate expecting a 1st or a 2:1 in chemistry
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, particularly in computer networks, operating systems, computer architecture and distributed systems Excellent programming, system building and measurement skills are required Be familiar with, and ideally worked
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prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Application Portal . In ‘Course choice’ tab, put ‘Postgraduate Research’ in 'Type
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Mathematics PhD on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form. Candidate requirements: Applicants must hold
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). Experience in numerical modeling and data analysis. An interest in groundwater contamination, risk assessment, and sustainability. Programming experience (Python, MATLAB, or similar) is desirable but not
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Scholarship covers the difference between 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
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‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8209F Select ‘PhD Water Infrastructure & Resilience
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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: 8209F Select ‘PhD