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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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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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closely aligned discipline. Masters of science level qualification in a relevant discipline Knowledge of AI Experience in working with key stakeholders in business and government Proficiency in programming
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requirements Essential requirements: Desirable requirements (but not essential) First class or upper second-class honours degree in computing, cybersecurity or a closely aligned discipline. Masters of science
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requirements Essential requirements: Desirable requirements (but not essential) First class or upper second-class honours degree in computing, cybersecurity or a closely aligned discipline. Masters of science
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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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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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chemistry and in developing their skills. Candidates should have or expect to receive a first or upper second (2.1) Master's degree (or equivalent) in chemistry or a related discipline. A successful applicant
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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