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applications and contribute to the evidence-base behind our innovative training programme, to develop compassionate, resilient healthcare practitioners. About you The ideal candidate will have a Master’s degree
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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to the application process. Please quote reference NM46253 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages
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to that data will be strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working
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strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working at the University
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for...
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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory, scientific machine learning, and partial differential...
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stations, new and retrofit, leading to a substantial reduction in carbon emission to the atmosphere. This project will develop novel performance assessment tools for simulating the CO2 absorption process in