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graph PhD Projects, Programmes & Scholarships

We have 22 graph PhD Projects, Programmes & Scholarships

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We have 22 graph PhD Projects, Programmes & Scholarships

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Drift detection in graph streams

Graphs have become a useful tool for representing information in many application domains. Social, computer, sensor and transport networks, molecular structures and business processes, all can be represented as attributed graphs. Read more

Brain wave analysis and modelling with graph signal processing

Brain wave analysis and modelling is an increasingly important research area, not least because of its applications in bio-medicine, rehabilitation, and next-generation human-computer interfaces. Read more

Geographic Question Answering on Knowledge Graphs [Self-Funded Students Only]

  Research Group: Data and Knowledge Engineering
Knowledge Graphs (KG) on the Semantic Web are a representation of linked data that are collected from structured and unstructured sources and used by question-answering… Read more

Applications of graph theory in data science

The aim of the project is to use and apply the discrete mathematics and data visualisation techniques such as graphs, trees, combinatorics etc, to enhance existing clustering techniques in big graphs with potential applications such as nature language processing. Read more
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Urban Transport for sustainability

The University of Sheffield invites applications from outstanding candidates for this PhD scholarship opportunity. The project is looking at understanding the interplay of transport emissions and economic output enabled by transport and mobility in urban environments. Read more

Harnack inequalities on graphs

The Department of Mathematics at the University of Manchester seeks to find a PhD student in Probability Theory to work under the supervision of Dr Sebastian Andres on a research project on random walks in random environment and related probabilistic or analytic objects. Read more

Deep Learning for 3D Human Understanding

Understanding 3D humans is important to human machine interaction and applications like VR/AR. This project aims to develop effective and robust deep learning methods for 3D human understanding such as modelling, prediction, reconstruction and generation. Read more

Design of Experiments: estimation of selected interactions in factorial experiments

Experiments with factorial treatment structure are used widely in industrial experiments and have applications in many other areas, including medical research and the horticultural and agricultural industries. Read more

Deep Learning based Computer Graphics for Creating Virtual Characters

This project focuses on human motion and body/facial shape data with deep neural network to synthesize virtual characters for computer graphics, animation and games. Read more

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