We have 114 analytics PhD Projects, Programmes & Scholarships

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analytics PhD Projects, Programmes & Scholarships

We have 114 analytics PhD Projects, Programmes & Scholarships

Lowering the cost of Healthcare: Development of a low-cost vascular optics test for Raynaud’s phenomenon using novel combined physiological sensing and advanced analytics

Coventry University, supported by the British Council is delighted to announce this fully funded Masters by Research scholarships within the Centre for Intelligent Healthcare for female candidates from South Asia, (Bangladesh, India, Nepal, Pakistan, Sri Lanka). Read more
Last chance to apply

Enhancing Zero Emission Bus Fleet Management with Data Analytics

Project Introduction. The increasing demand for zero emission buses is being driven by a global commitment to tackle climate change, improve air quality and reduce fossil fuel dependency. Read more

Responsible Decentralised AI and Big Data Analytics

  Research Group: Applied Computing
The increasing adoption of Artificial Intelligence (AI) technologies that could impact humanity raises increasing concerns from general public, industry and regulatory bodies. Read more

Fully Funded PhD Scholarship in Polarised Fluorescence based Downstream Analytics, NBL-1

Application(s) are invited from suitably qualified candidates for full-time funded PhD scholarship(s) starting in February 2024 affiliated to the Nanoscale Biophotonics Laboratory in the Discipline of Physics (School of Natural Sciences) at the University of Galway. Read more
Last chance to apply

Advanced Behaviour and Face analytics in XR

Improvements in computer vision, and deep learning advancements, along with the introduction of smart devices and powerful computers, have stimulated research interest in the field of real-time scene analysis. Read more

Interpretable Reinforcement Learning [Self-Funded Students Only]

  Research Group: Visual Computing
Reinforcement learning (RL) enables agents to learn optimal policies by interacting with the environment. The agent collects experience from trial-and-error and optimises its action rules from the environment feedback. Read more

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