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Data Analysis PhD Projects, Programs & Scholarships in Bedford

We have 9 Data Analysis PhD Projects, Programs & Scholarships in Bedford

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Bedford  United Kingdom

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We have 9 Data Analysis PhD Projects, Programs & Scholarships in Bedford

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Deep Learning for stock market predictions: Study of Fama's international efficiency

A theory of Efficient Market Hypothesis (EMH) has been introduced by Fama to analyse financial markets. In particular the EMH theory has been proven in some real cases under different conditions including financial crises and frauds. Read more

Intelligent Maintenance with Artificial Intelligence and Industrial IoT PhD

Cranfield University is seeking a top-class candidate to undertake research leading to PhD award. The research aims to improve maintenance practices and optimisation in resource-limited systems. Read more

Position in Design for optimised obsolescence PhD

Cranfield University is currently seeking a top class candidate to undertake fundamental research in exploring how obsolescence can be optimised early on in the design phase of the life cycle of complex engineered assets, such as planes, ships, and trains. . Read more

AI enabled adaptive Augmented Reality guidance for the future worker PhD

Cranfield University and the Centre for Digital Engineering and Manufacturing are seeking a top class candidate to undertake research leading to a PhD award in augmented reality (AR). Read more

Augmented Reality Technology for Emergency First Responders PhD

Cranfield University and the Centre for Digital Engineering and Manufacturing are seeking a top class candidate to undertake research in augmented reality leading to a PhD award. Read more

Research in IRAC (Institute for Research in Applicable Computing)

Research in IRAC (Institute for Research in Applicable Computing - https://www.beds.ac.uk/irac/) reflects the strong motivation within the Institute for developing novel applications of computer technology to solve real-world problems and for providing innovative tools to enable users to employ computer technology more efficiently and more effectively. Read more
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