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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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, along with an aptitude for developing new experimental techniques that relate to this exciting research program. To be successful with your application, you will need to demonstrate: An awarded PhD in
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large team with colleagues in Leeds studying other aspects of blood clot structure and function and their influence on thrombosis. You will have a PhD in molecular biology, cell biology, biomedical
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Supervise students on research-related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake
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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models
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working with NLP in general and LLMs in particular. They will also help to further develop machine learning models to predict clinical outcomes. Familiarity with current methods in this area is essential
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working. The salary for this post is at Grade UE07: £41,064 – £48,822 per annum. Appointment will be made within the first 3 points of the scale. Your skills and attributes for success: PhD (or close to
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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to £39,586 per annum (if PhD close to completion), and in the range of £37,337 to £44,906 per annum (if PhD obtained) The Centre for Propulsion Engineering within FEAS is looking to expand its internationally
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teaching and learning activities) in order to propel professional development. Informal enquiries may be directed to Martyn Pickersgill, Professor of the Sociology of Science and Medicine / Co-Director of