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We have 99 Statistics PhD Research Projects for Self-funded Students

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Statistics PhD Research Projects for Self-funded Students

We have 99 Statistics PhD Research Projects for Self-funded Students

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

Parameterising wakes for oceanographic models

This Research Project is sponsored by the Centre for Environment Fisheries and Aquaculture Science (CEFAS) and is part of the EPSRC CDT in Offshore Wind Energy Sustainability and Resilience’s Predicting Offshore Wind wake interactions for Energy and the enviRonment (POWER) Cluster. Read more

Innovative decommissioning for offshore foundation systems

This project is offered as part of the EPSRC CDT in Offshore Wind Energy Sustainability and Resilience. The CDT is a partnership between Hull, Durham, Loughborough and Sheffield universities, along with over 40 industry partners. Read more

Economic and environmental assessment of energy systems integration for increased utilisation and reduced curtailment of offshore wind farms

This Research Project is part of the EPSRC CDT in Offshore Wind Energy Resilience and Sustainability’s Energy Economics Cluster. The CDT is a partnership between Hull, Durham, Loughborough and Sheffield universities, along with over 40 industry partners. Read more

Thrive: Finishing School Well

Statistical Machine Learning and Data Science - PhD and Masters - A highly competitive scholarship to develop new machine learning, statistics and data-driven methods to battle social disadvantage in NSW. Read more

Novel causal models for multivariate functional data

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

New frontiers in extreme data analysis

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Quantifying Discretisation Error in Climate Models

A significant challenge in climate models is discretisation error. even on cutting-edge hardware it is impossible to use fine enough discretisations to resolve underlying physics, which can have a significant impact on modelling results. Read more

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