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working with deep learning models across multiple modalities Desirable criteria MLOps experience of with multi modal deep learning or classical machine learning models in a production setting Experience of
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programme on children and young people attending the UK Gender Services because of gender incongruence. PATHWAYS is a research programme with multiple workstreams whose aim is to understand young people with
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the Global Mobility Office’s wider remit. They work within and across multiple teams at the university, engaging with a wide range of colleagues. This role in particular will work to enable the nomination
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structuring own workload and prioritising tasks to deliver across multiple work streams. Experience of building an effective network across and beyond a complex organisation with both internal and external
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as part of a team or alone. Ability to complete multiple tasks at the same time. Excellent attention to detail. Excellent time management skills. Ability to communicate effectively and efficiently with
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, skills, and knowledge from multiple disciplines. This allows students to learn about the diversity of human experience from a range of perspectives. Our research and teaching works across many departments
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interpersonal skills and ability to maintain effective working relationships with trainees and with university and placement provider staff Ability to liaise effectively with multiple stakeholders Knowledge
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team to ensure that the University’s and Faculty’s strategic education projects are aligned and operationalised at academic department and school level. You will also be responsible for the quality
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of (university) policies and procedures including financial regulations and proven ability in managing multiple large and complex budgets. Highly proficient level of financial numeracy and experience of data
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experience in the Higher Education or aligned sector, specifically in impact, knowledge exchange, communications or research areas. Excellent communication skills—both written and oral—with the ability