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We have 334 decision PhD Projects, Programmes & Scholarships for Self-funded Students

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decision PhD Projects, Programmes & Scholarships for Self-funded Students

We have 334 decision PhD Projects, Programmes & Scholarships for Self-funded Students

Sustainable corporate governance and firm performance

Businesses are now under intense pressure from different stakeholders to take more responsibility in reducing the negative impact of climate change and achieving the United Nation’s sustainable development goals (UN SDGs). Read more

Fully-funded PhD Studentship: The Biased Blame Game - Understanding why we blame others for our own mistakes in cooperative settings

Applications are invited for a fully funded 3-year PhD studentship under the supervision of Dr. Paul Rauwolf in the School of Psychology and Sport Science at Bangor University, commencing between October 2024 and January 2025. Read more

xAI for Biometrics – Legal Presentation of Data

Increasingly AI-based biometric technologies, such as facial recognition and voice biometrics, are playing a major role in assisting public authorities to protect the public, reduce serious crime, and help safeguard vulnerable persons. Read more
Last chance to apply

Edge intelligence for Internet of Things

  Research Group: School of Computing
Edge intelligence for the Internet of Things (IoT) presents a revolutionary solution to the limitations of existing approaches to data processing and decision-making. Read more

UCL SECReT: The International Training Centre for Security and Crime Research Degrees

UCL's Security Science Doctoral Research Training Centre (UCL SECReT) was founded in 2009 with support from the Engineering and Physical Sciences Research Council (ESRC) and an array of public and private sector organisations working in crime reduction security and law enforcement. 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

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis

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

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