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Intervention Responsive Studies Team (PHIRST) Fusion, funded by the National Institute for Health Research (NIHR), Public Health Research (PHR) Programme. You will perform the role of Knowledge Exchange Broker
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the University's research culture and collaborative profile. Qualifications: PhD in Computer Science/AI or a closely related field. Extensive research experience in machine learning, deep learning, and self
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Represent IMPACT externally and deputise for the Delivery Leads when needed Any other duties commensurate with grade of post Essential Criteria Qualifications PhD in a relevant discipline (or extensive
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and the manager of your substantive post, if you are already undertaking a secondment role. The Leverhulme Trust’s funding regulations mean that individuals will have needed to have submitted their PhD
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selected candidates. This is a high-impact role with the potential to shape the future of rare disease research. Join us to push the boundaries of what’s possible in computational biology and personalised
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innovative research culture in the Centre. The Research Fellow will use their research knowledge, skills and experience to contribute to the design and delivery of an ambitious research programme within
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genetics into research initiatives. You will have a PhD in biomedical science or a related field, postdoctoral research experience, and a strong publication record demonstrating national quality work. You
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extension. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area or equivalent
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PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models
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Health Regulations. Assist in project resource requirements and managing student projects. Job Requirements: Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent