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Brunel University London, Mathematics PhD Projects, Programmes & Scholarships

We have 9 Brunel University London, Mathematics PhD Projects, Programmes & Scholarships

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Mathematics  Brunel University London

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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 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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