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We have 16 Computer Graphics PhD Projects, Programmes & Scholarships for Non-European Students

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Computer Graphics PhD Projects, Programmes & Scholarships for Non-European Students

We have 16 Computer Graphics PhD Projects, Programmes & Scholarships for Non-European Students

School of Computer Science PhD Studentships

The School of Computer Science at the University of St Andrews is offering a number of PhD studentships for 3.5 years of study in our doctoral programme. Read more

EPSRC DTP PhD project: Generating Models in Style

The University of Bath is inviting applications for the following PhD project commencing on 30 September 2024 under the supervision of Prof Peter Hall in the Department of Computer Science. Read more

Deep Learning based Controllable Character Animation with Images (Code: COM-07-Chen)

Character animation brings character to life with movement and has applications in 3D animated movies and games. There are emerging interests in using character animation to synthesise human behaviour in digital twins for applications like autonomous vehicles, urban planning, architectural design, and manufacturing. Read more

PhD studentship in Specifying Safety in Hybrid Artificial Intelligence Systems

One fully funded, full-time PhD position to work with Craig Innes in the Institute for Perception, Action, and Behaviour (IPAB) at the School of Informatics, University of Edinburgh. Read more

Design principles for glancing at information by visually disabled users

We wish to explore the principles for the provision of glances at information to be used by those with visual disabilities. A glance, gist or brief look is an important aspect of interaction with the world via the visual system. Read more

Faculty of Informatics, Masaryk University

The doctoral degree program in Computer Science offers a comprehensive exploration of contemporary computer science and information technology, covering a diverse range of topics. Read more

Artificial Intelligence - Computer Vision

Our research efforts aim to understand the nature of visual perception so that we can create more visually intelligent machines. This is enabled via fundamental concepts in reasoning, prediction, supervised, semi-supervised and unsupervised learning, and stochastic optimization techniques. Read more

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