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and enabling device choice/design by predicting the patient’s response. The role is funded for 3 years in the first instance. About You The ideal candidate will have a PhD in a numerate field with
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have a PhD in a numerate field with expertise in machine and deep learning methods, supported by high quality publications. Experience of applying such methods to healthcare data is an advantage
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components. About You Applicants should hold a PhD degree in Mechanical Engineering, Metallurgy and Materials, or a relevant subject (e.g. Materials Science, Engineering Mechanics, Applied Mathematics
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(University of Birmingham). Dr Barnby’s group currently consists of two PhD students and two DClinPsy students. The post holder will be a member of this lab with responsibility for the provision
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Alex Pike and Catia Oliveira (University of York) and Dr Lei Zhang (University of Birmingham). Dr Barnby’s group currently consists of two PhD students and two DClinPsy students. The post holder will be
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device placements, and 3) Examine clinical workflows and validate the established systems in tandem with clinical partners. About You You will possess a PhD (or be nearing completion) in mechanical