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will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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communication skills who can interpret complex information into high-quality and engaging content for parent/ caregiver communities. Given the interaction and involvement with clinicians and researchers
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and Learning Design where they fall within set role objectives, using judgement, creativity and wider sector knowledge to suggest the most appropriate course of action and ensuring complex and
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the most appropriate course of action where appropriate, and ensuring complex and conceptual issues are understood. Provide expert Learning Design support to Schools within one College as part of a
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, producing reports out of complex data sets utilising corporate reporting tools (e.g. SAP Business Objects). You will be able to work closely with customers to gather requirements and help form
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as well as processes and procedures to internal and external customers. Use judgement and creativity to suggest the most appropriate course of action where appropriate, and ensuring complex and
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to interact with stakeholders, and within multiple networks, in order to contribute to long term developments. Ability to communicate detailed and complex information effectively and professionally to a wide
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students across the University. The job requires the role holder to: Take responsibility for the specification and design of large or complex systems. Resolving issues independently where they fall within
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national and international research networks. We are looking for someone with a PhD (or near completion) in a relevant field such as machine learning, biomedical engineering, or neuroscience, with expertise
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the complex, specialist and technical information in the assessment reports and other medical evidence, to the student, ensuring they gain insight into their diagnosis and its potential effect on their learning