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Accountabilities Design and implement software pipelines to deploy ML models on edge devices with real-time inference capabilities. Optimize machine learning models (e.g., quantization, pruning) for edge hardware
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). Ability to draw inferences from financial data and to explain conclusions effectively to non-financial experts (academic and administrative staff). High level of knowledge and experience using Microsoft
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-talented, ambitious scientists and engineers. You should therefore be able to demonstrate a track record (suitable for your career stage) that is based upon collaborative, thought-provoking laboratory
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postgraduates. Ideally, you will have a track record of innovative teaching practice, including the use of simulations. Beyond classroom instruction, you will help us establish further strategic partnerships with
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Grade G Lectureship you must also meet the following criteria: An established/sustained international research and innovation profile and proven track record in international and world-leading
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the formulation of proposals, subsequent engagement activity and the approval process Overseeing the administration and budget management of the Newcastle University Academic Track (NUAcT) scheme, with line
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new projects. Proven track record in working with stakeholders using well developed interpersonal and communication skills. A good standard of numeracy and the ability to work with digital systems and
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Experience of web authoring (desirable) Attributes and Behaviour Strong track record working collaboratively with colleagues at all levels across the organisation Ability to influence and persuade to gain
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are firmly progressed and embedded. You will have an outstanding track record of successful and impactful leadership within a global portfolio. You will have evidence of building excellent relationships with
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and understanding of EDI legislation and good practice Evidence of carrying out investigation and data collection to inform decisions. A track record in dealing with both academic and non-academic