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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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, information extraction, natural language generation, and text summarisation. Professor Bontcheva is the coordinator of FP7 PHEME project, scientific coordinator for H2020 WeVerify project, USFD PI for the EDMO
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• Quantitative and computational skills but training will be provided • Interest in Bayesian statistics, stellar evolution, and exoplanet science Keywords Bayesian inference · hierarchical modelling · stellar
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funded doctoral training programme (MRC DTP) PhD studentships . Students are based at UoS or QMUL researching topics, including cancer, neurological, inflammatory or infectious diseases, antimicrobial
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their reliable operation, stagnating progress in scientific computing. While quantum effects threaten the continued scaling of classical computing, quantum computers are designed to exploit these effects
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Geography, Biology, Chemistry, Earth Science or Environmental Science, Computer Science, Engineering, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum
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and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete