177 programming-"https:"-"https:"-"https:"-"https:" PhD scholarships in United Kingdom
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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Sustainability (RAPTOR). The successful candidate will be part of a cohort of PhD students across four universities (Manchester, Liverpool, Surrey, Suffolk) working in a national programme with 18 industrial
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programme with 18 industrial partners. During the first months of this PhD, training will be provided UK experts in radiation protection, environmental assessment and radioactive waste management, nuclear
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Science, Applied Mathematics or a closely related field. A strong mathematical background (probability, linear algebra, optimisation) and proficiency in programming (preferably Python/Matlab) are essential. Prior
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in programming for data analysis and algorithm development (e.g. Python, MATLAB). Strong analytical skills and the ability to critically evaluate technical and scientific literature. Excellent
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computer programming specially for solving partial differential equations is desired. To apply please contact the main supervisor Masoud Babaei . Please include details of your current level of study
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following would be advantageous: Programming in Python, R or a comparable language. Using machine-learning frameworks such as PyTorch, TensorFlow or scikit-learn. Working with audio, video, behavioural
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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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inequalities in health and/or wider determinants of health. The focus on ‘places’ may include: Neighbourhoods (in line with the 10-year plan for the NHS) focussing on regional, local and hyperlocal geographies
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the postgraduate research environment. As a PGR at the University of Nottingham you will benefit from training through our Researcher Academy ’s training programme. Based within the Faculty of Engineering you will