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We have 13 Applied Mathematics (parallel) PhD Projects, Programmes & Scholarships

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Applied Mathematics (parallel) PhD Projects, Programmes & Scholarships

We have 13 Applied Mathematics (parallel) PhD Projects, Programmes & Scholarships

Machine learning for extreme scale computational imaging in radio astronomy

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for extreme-scale computational imaging in radio astronomy. Read more

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Novel nanophotonic phenomena in near-fields: time and spatial structuring

The Novel Nanophotonic Phenomena team, led by Dr. Francisco J. Rodríguez-Fortuño at King's College London, invites applications for a PhD position focused on the theoretical exploration of electromagnetic near-fields. Read more

Information and decision theory in biosensing and diagnostics

Apply to pursue a PhD in the Optical Theory Group, led by Matthew Foreman, where you will explore information theoretic aspects of digital biomolecular assays and optimal diagnostic design. Read more

Computational imaging in low resource settings

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on computational imaging in low-resource settings. Read more

Computational Acoustics: Predicting, Simulating and/or Auralising how the world sounds

  Research Group: Acoustics Research Centre
Information on this PhD research area can be found further down this page under the details about the Widening Participation Scholarship given immediately below. Read more

Digital twin railway network

Research at Sheffield has been developing models of the railway network from a range of perspectives including smart-grid energy consumption, passenger satisfaction, and integration of rail with wider city and regional transport networks. Read more
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