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deemed to have the ability otherwise required to successfully complete the program. General Qualifications Applicants must hold a university degree at an advanced level of at least 240 credits (ECTS
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. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics
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of Bayesian computational statistics as part of the EPSRC funded ‘PINCODE' project (EP/X028712/1), under the clear guidance of Prof. Murray Pollock and Prof Hongsheng Dai. Work closely with other members
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and chemical processes, statistical thermodynamics of fluids and polymers, advanced electromigration separation methods, and biophysical chemistry. The program reflects global trends and the needs
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. The department has a highly international research environment with strong presence at leading conferences. Placements of graduates from our PhD programme include the University of Manchester, Bayes Business
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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 work in a team and excellent communication skills You are goal-oriented and have a high motivation to strive for scientific excellence. Additional knowledge in high-performance computing, statistics
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to work in a team and excellent communication skills You are goal-oriented and have a high motivation to strive for scientific excellence. Additional knowledge in high-performance computing, statistics
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Temporary contract | 14
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advanced statistical modelling of large datasets. Epidemiological data for the project are already available. As a doctoral student, you will have excellent opportunities to collaborate with our various