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as an academic member of the MK:U Education team with a specialism in a field related to Data or Digital (for example, analytics, visualisation, maths and programming, Big Data). This element of
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utilised with the aim of efficiently analysing large datasets, the extraction of meaningful information and the creation of a chemical database. The PhD student will be involved in the adaptation of the CRIM
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autonomously to analyse, interpret, and evaluate scientific data and present the results of laboratory work and problem solving clearly and concisely in written and oral form. The apprenticeship provider is
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postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and
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, motivated people to join the MK:U education team, working on our fast-growing Degree Apprenticeship courses in data and digital, particularly our hugely successful Digital and Technology Solutions course
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2 Apr 2024 Job Information Organisation/Company Cranfield University Department HR & Development Group Research Field Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2
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fully understand the bi-stability flow phenomena for DrivAer models. The influence of the geometric scale and ability to transpose from small scale to large scale of the geometry. Prior studies mostly
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useful life of critical assets. Currently, Artificial Intelligence (AI) based big data analytics tools have been massively developed in the research community to address this challenge. These AI-based
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used to predict armour performance against threats, known and emerging. Overview Initially, the successful candidate will identify the critical data capture steps for accurate prediction of material