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Statistics (3d) PhD Projects, Programs & Scholarships

We have 10 Statistics (3d) PhD Projects, Programs & Scholarships

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  Computational imaging: Multi-Sensors Fusion for High Resolution 3D Lidar videos (EPS2020/40)
  Dr AH Halimi, Prof S McLaughlin
Application Deadline: 28 February 2020

Funding Type

PhD Type

Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy.
  Uncovering 3D genome architecture in annelid worms
  Dr JM Martin
Applications accepted all year round

Funding Type

PhD Type

The School of Biological and Chemical Sciences at Queen Mary is one of the UK’s elite research centres, according to the 2014 Research Excellence Framework (REF).
  Developing a sizing methodology for women’s sports compression garments
  Dr K Brubacher, Dr S Gill
Application Deadline: 30 June 2020

Funding Type

PhD Type

SCGs are skin-tight, elastic garments that are designed to apply pressure to the underlying body with the aim to improve exercise performance, shorten recovery and prevent injuries.
  Approximate Bayesian methods for large scale imaging problems (EPS2020/41)
  Dr Y Altmann
Application Deadline: 28 February 2020

Funding Type

PhD Type

This project consists of investigating new approximate Bayesian methods for fast and robust estimation in high dimensional problem.
  ESRC PhD Studentship: Improving respiratory care via statistical modelling of multiple sources of data
  Prof J Knight, Dr F Dondelinger
Application Deadline: 28 February 2020

Funding Type

PhD Type

Data science and statistics are rapidly transforming the face of health care and are leading to efficiency increases in prevention, diagnosis and treatment for a multitude of diseases.
  Developing Robust Visual Recognition Frameworks using Synthetic Data (Application Ref: SF19/EE/CIS/HO)
  Dr E Ho, Dr H Shum
Applications accepted all year round

Funding Type

PhD Type

Deep Learning is one of the major research themes across different areas in scientific research. With the promising performance and results presented over the last few years, deep learning algorithms are dominating a lot of data-driven tasks in visual recognition.
  Overcoming the penetration depth limitations of optical coherence tomography in clinical dentistry using full electromagnetic wave computer models
  Dr P H Tomlins, Dr R Donnan
Applications accepted all year round

Funding Type

PhD Type

Background. In healthcare, imaging is one of the most important diagnostic tools available. Deep tissue imaging is usually achieved using either ionising X-Ray radiation, MRI which is expensive or ultrasound, which has low resolution.
  Computational Functional Genomics
  Assoc Prof G Lunter
Application Deadline: 24 July 2020

Funding Type

PhD Type

We are interested in building computational models to understand and predict the functional consequences of mutations in the (human) genome.
  Computational Functional Genomics
  Assoc Prof G Lunter
Application Deadline: 24 July 2020

Funding Type

PhD Type

We are interested in building computational models to understand and predict the functional consequences of mutations in the (human) genome.
  Using Artificial Intelligence to study variations in gas turbine performance
  Research Group: Computational Engineering and Design
  Dr D Toal
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Dr. D.J.J. Toal. Co-supervisor Prof. A.J. Keane. Project description. Artificial Intelligence (AI) allows the rapid processing of images.
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