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colleagues within the School and wider University to ensure the effective delivery of their objectives. About You Candidates should be educated to degree level or equivalent and have considerable experience
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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and business objectives. In addition to your technical expertise, you will help foster effective communication and teamwork across IT teams and with stakeholders at all levels of the organisation
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Head of Digital Learning. The RVC has an outstanding track record being No.1 in the world QS world veterinary rankings. Ensuring the institution’s digital infrastructure for teaching, learning and the
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and other members of the clinical team to deliver the learning objectives of our primary care-focused rotations that run throughout the year. The role will involve extensive interactions with colleagues
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-term success. The successful candidate will possess an outstanding track record of leadership in organisations of comparable scale and complexity. They will have first-rate advisory and influencing
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to deliver the learning objectives of our primary care-focused rotations that run throughout the year. The role will involve extensive interactions with colleagues and students and require excellent
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degree, ideally a doctoral degree, in a relevant topic. Relevant experience in relevant field(s) such as public health along with a strong track record in producing rigorous evidence syntheses. Experience
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relationship to support university wide objectives. You will work closely with the Director and relevant senior leadership to develop and manage the global engagement strategy in collaboration with relevant
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objectives, take on a key role to devise, implement and monitor the academic and research strategy. You will be required to evaluate, interpret and locally implement best practice for the research support for