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We have 308 data quality PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships

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data quality PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships

We have 308 data quality PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships

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Data Quality and Cleaning in Big Data

The proliferation of Big Data analytics is developing ever more sophisticated models for intelligent data-driven insight and decision making in business and in other areas such as health and social care. Read more

AI to the rescue of climate change, modelling air quality for cleaner urban planning

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Lakshmi Babu Saheer. Dr Javad Zarrin. Read more

Establishing the reliability and validity of digital tools to collect patient generated data

Background. The rise in consumer electronics ownership, such as smartphones and smartwatches, offers unique opportunities to collect granular subject-reported and passively collected research data via remote monitoring. Read more

Optimising asset capture and management in the water sector using geospatial technologies - Northumbrian Water Group Limited

This project is part of the . Centre for Doctoral Training in Geospatial Systems. . The successful candidate will be co-supervised by academics from within the School of Engineering at Newcastle University and work alongside our external partner. Read more

Construction Quality Management in the Digital Age

The field of project management is fast-changing due to climate change and the widespread deployment of varying technologies. Construction projects nowadays face many more difficulties than they did over the past decades. Read more

Integrated omics approach to psychiatric disorders

  Research Group: Chemistry and Biosciences
In psychiatry, the selection of antipsychotics and antidepressants is led by a trial-and-error approach. The prescribing of these medications is complicated by sub-optimal efficacy and high rates of adverse drug reactions (ADRs). Read more

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