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will define their main research direction in collaboration with academic supervisors. This funded PhD is suitable for applicants with a background in Natural Language Processing or Computational
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benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary air surveillance radars specially modified
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models to predict defect behavior without the computational cost of DFT. The successful applicant should have or expect to achieve at least a 2.1 honours or equivalent at Bachelors or Masters level in
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contact the Primary Supervisor: Dr Han Zhang, Reader in Multifunctional Polymers and Composites (han.zhang.10@warwick.ac.uk ). Essential and Desirable Criteria Essential Criteria: A 1st or 2.1 undergraduate
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contact the main supervisor; Dr Saeedreza Mohandes; saeedreza.mohandes@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a
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reduce primary care consultations during recovery from pneumonia, compared to standard of care alone; 3) To measure Quality of Life in a representative cohort of patients post-discharge – this will inform
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of internal electoral integrity mechanisms in two or all the original three EAC Partner States - Kenya, Tanzania, and Uganda. This will include exploring how election management systems such as digital
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prospective novel targets for neurodegenerative disease. The primary responsibility will involve research activities supporting the project, practically contributing to activities across methodologies (e.g
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to the primary aluminium production, therefore plays an important role in delivering Net Zero. The traditional Al recycling process requires an enormous investment in the scrap Al sorting and the extra cost
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to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To apply please contact the main supervisor; Dr Thomas Anthopoulos