Anglia Ruskin University Featured PhD Programmes
Xi’an Jiaotong-Liverpool University Featured PhD Programmes
Ulster University Featured PhD Programmes
National University of Ireland, Galway Featured PhD Programmes
University of Hull Featured PhD Programmes
"3d"×
10 miles

Statistics (3d) PhD Projects, Programs & Scholarships

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

  • "3d" ×
  • Statistics×
  • clear all
Order by 
Showing 1 to 10 of 10
  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).
  Vision-based 3D Human Posture Estimation and Musculoskeletal Regression
  Dr H J Chang
Application Deadline: 7 February 2020

Funding Type

PhD Type

Applications are invited for a funded 3.5-year PhD studentship in Computer Vision and Deep Learning.
  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.
  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.
  Learning to image: AI for imaging and uncertainty quantification in high-dimensional image reconstruction problems
  Dr J McEwen
Application Deadline: 31 January 2020

Funding Type

PhD Type

In many fields high-dimensional inverse imaging problems are encountered. For example, imaging the raw data acquired by radio interferometric (RI) telescopes involves solving an ill-posed inverse problem to recover an image of the sky from noisy and incomplete Fourier measurements.
  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.
Show 10 15 30 per page
  • 1


FindAPhD. Copyright 2005-2020
All rights reserved.