148 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Ulster University in United Kingdom
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appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications. A comprehensive and articulate personal statement Research proposal
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Degree with Distinction. In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning
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, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications
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Distinction. In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes
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policies for Newcomers and the communities supporting them. The project aims at studying the profile and the needs of Newcomers and their learning outcomes through quantitative data analysis on a variety of
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portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications. Experience using
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professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications. A comprehensive and articulate personal statement Research proposal of 2000 words
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Distinction. In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes
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appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications. Sound understanding of subject area as evidenced by a comprehensive
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into company valuations. You'll apply cutting-edge machine learning techniques (transformer models, causal forests, double machine learning) to understand which aspects of patent language predict valuable