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We have 355 data quality PhD Projects, Programmes & Scholarships

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data quality PhD Projects, Programmes & Scholarships

We have 355 data quality PhD Projects, Programmes & Scholarships

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

Industry hopping and business transformation for non-data driven businesses

Introduction. The landscape of global business has been profoundly reshaped over the last decade by Data Driven Businesses (DDBs) such as Airbnb, Amazon, Alibaba, Uber, Didi, and Grab. 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

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis [SELF-FUNDED STUDENTS ONLY]

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. 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

Developing a High-Quality PPI Interactome to Model Cell States and Disease Biology

A fully funded PhD Studentship is available to work with Professor Pedro Cutillas, Professor of Cell Signalling and Proteomics, Barts Cancer Institute at Queen Mary University London, and Dr Kirill Shkura, Systems Biologist and Data Scientist at MSD. Read more

Trusted-Edge and Semantic-based Approach for Dependable IoT and Smart Systems

The integration of sensors and embedded devices for the purpose of data acquisition to support human activity recognition, management of living challenges, and behavioural patterns for the purpose of proactive decision making has continue to open more direction of research in smart home applications such as Ambient Assisted Living (AAL). Read more

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