IMT Institute for Advanced Studies Lucca
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We have 15 graph theory PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
graph theory PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 15 graph theory PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Extremal graph theory
Extremal graph theory is one of the most active and dynamic branches of combinatorics. The fundamental goal of the area is to understand what conditions force a graph to contain some substructure. Read more
Unified Control of Hybrid Energy Smart Grids using Graph Theory, Automata and Multi Agent Systems
Renewable energy sources (RES) are a proven tool in reducing harmful green house emissions. The usage of RES as well as energy storage have transformed the energy sector and now new topologies such as smart grids are fast replacing traditional power networks. 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
Exact analysis of dynamics on networks using permutation group theory
Research Group:
School of Mathematics
Exact analysis of dynamics on networks using permutation group theory. Read more
Discovering similarities between unstructured data
The focus of this PhD would be on adapting existing graph alignment methods and developing new approaches so that they can handle large-scale (~1 million nodes), directed (i.e. Read more
PhD opportunities in Mathematics at Brunel University London
Are you ready to address problems of real biological or engineering importance? Or perhaps investigate the underlying mathematical and phenomenological processes of societal issues?. Read more
Fractional order modelling of neurons
Project Overview. Fractional order calculus (integro-differential equations that are of non-integral order) is an emerging methodology with wide applications across all areas of Physics and Engineering. Read more
12 Ph.D. positions in “Systems Science” at the IMT School for Advanced Studies Lucca
The IMT School for Advanced Studies Lucca is now recruiting 12 fully funded doctoral candidates in its Systems Science (SyS) Ph.D. Read more
Individual decisions for transport network efficiency and sustainability
The University of Sheffield invites applications from outstanding candidates for this PhD scholarship opportunity. The project is looking at understanding the interplay of selfish routing, social norms and the availability of transport modes for the development of sustainable mobility at urban and regional scale. Read more
Fairness and efficiency analysis in the digital economy
The University of Bath is inviting applications for the following PhD project commencing in October 2023. Overview of the Research. Read more
Verifying Geometric Learning Machines for Generalisation, Robustness and Compression
As part of the model-based approaches to safe and trusted AI, this project aims to shed light on the phenomenon of robust generalisation as a trade-off in geometric deep networks. . Read more
Verification of Matching Algorithms for Social Welfare
Matching is a fundamental problem in combinatorial optimisation with multiple applications in AI, like in belief propagation [10], multi-agent resource allocation algorithms [6], and constraint solving [16], and in economics, like the stable marriage problem [17] and the Adwords market [15], among many other applications. Read more
Structure evolution in complex alloys by analysis of combinatorial complexes
The last couple of decades have been a period of active development and manufacture of new complex-structured bulk materials, such as TWIP steels, nickel superalloys and high-entropy alloys for novel applications in energy and transport industries. Read more
Mathematics PhD studentship on random graphs with clustering
Random graphs are ubiquitous objects in probability and combinatorics and are widely used by mathematicians to understand properties of complex networks in the everyday world. Read more
Machine learning for sustainable transportation systems
This is an interdisciplinary position at the intersection of artificial intelligence, deep learning, and transportation systems. Read more
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