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Brunel University London, Mathematics PhD Projects, Programmes & Scholarships
We have 9 Brunel University London, Mathematics PhD Projects, Programmes & Scholarships
We have 9 Brunel University London, Mathematics PhD Projects, Programmes & Scholarships
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Classical simulations of quantum systems
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
Design of Experiments for Learning from Online Networks
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
The uniform topology of rough Riemannian metrics
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
Topological invariants of random geometric complexes in the dense limit
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
Reliable profile likelihood ratio tests for statistical models
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
Deep Learning for Inverse Scattering Problems
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
Evaluation of the Turkish Catastrophe Insurance Pool”
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
Advanced robust probability regression for face recognition
Robustness in statistics can be defined as "the ability of an inferential statistic or procedure that is reliable, resistant, and avoidable. Read more
Advanced robust deep learning
Deep neural networks have recently achieved great success and classification, where the Loss function is an indispensable part of deep learning. Read more
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