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projects to internal and external customers, using judgement and creativity to suggest the most appropriate course of action where appropriate, and ensuring complex and conceptual issues are understood
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on complex cases and take decisive action when required. C5 Able to manage risk and adapt approaches to suit the HE setting, demonstrating clinical competence in assessment and working with a breadth of client
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be an active member of the University’s Communications Community of Practice and/or other relevant networks/groups in order to share information, promote best practice and ensure cross-University
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AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical
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cloud solutions that support business objectives of the JOINER project. The ideal candidate will have hands-on experience with AWS and VMware, deep knowledge of hybrid clouds including the network design
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equivalent experience). 4. Professional change practitioner with demonstratable specialist knowledge and expertise to use influence and deliver large and complex change within the organisation. 5
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. Read more about the AI Hub here: https://erlangenhub.ox.ac.uk/ The successful candidate will be an active member of the University’s Communications Community of Practice and/or other relevant networks
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protein complexes of bioenergetics. Practical experience of biophysical methods on the photosystems and or bioenergetic complexes (cryo-EM, spectroscopy, electrochemical approaches, etc). However, excellent
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"Deprescribing Safety in Primary Care: developing a Community Pharmacy Safety Net and Feasibility Study," aims to establish patient and professional networks to support the development of a future feasibility
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expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project as opportunities allow. Main