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Field
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all, the traditional statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental
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Evaluating the role of Big Data and satellite technologies in understanding livestock impacts on the upland landscape DoS: Dr Mark Whiteside 2nd Supervisor: Dr Katherine Herborn 3rd Supervisor: Dr
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
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film-forming products such as inks, adhesives, and cosmetics. This PhD position is integrated within a large UKRI funded project on coatings formulations within a world-class research environment. You
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research and / or experience of qualitative research. Expertise will be gained in how to use large datasets (‘big data’) to address clinically relevant questions and how to design and conduct a clinical
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the predictions of opaque models that are widely deployed in high-stakes decision making scenarios. Of particular interest to this project are example-based explanation methods that use individual data points
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), indicating SISI PhD Studentship in the email subject. If you require further information about the application process, please contact the below: PhD in Management and Marketing (business.phd.mgmt-mktg
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experimental facility to generate this much needed, high-quality, validation data. The proposed PhD project will start by using data generated by the new experimental NCL facility to validate a wide range of
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and has a large group of collaborators. You will be joining a great team of supportive and social PhD students working in a high-quality research environment. Learn More: The Dynamics Research Group