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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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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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thesis soon): Duration of previous/current PhD contract(s) at the University of Vienna and type of contract(s) e.g. prae-doc or project staff Teaching duties why the original time plan needs to be extended
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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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to participate in this collaborative research programme. They will be expected to contribute research to central datasets, and will be encouraged and supported to develop high-profile publications at the cutting
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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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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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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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: 1. Plan and conduct assigned research tasks individually or jointly in accordance with the project deliverables and project/School/College research strategy. In particular: § Support
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start date Programming skills in Python, R or STATA Willingness to learn unfamiliar tools as needed (e.g. GitHub, APIs, new libraries). Familiarity with econometric techniques, especially panel data