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Statistics (image process) PhD Projects, Programs & Scholarships

We have 13 Statistics (image process) PhD Projects, Programs & Scholarships

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  The application of artificial intelligence to benthic species identification
  Dr K Howell, Dr P Culverhouse
Application Deadline: 7 January 2020

Funding Type

PhD Type

Marine benthic ecosystems are chronically under-sampled particularly in environments >50m. Yet a rising level of anthropogenic threats makes data collection ever more urgent.
  Development of Convolutional Neural Networks and Associated Error Estimation Techniques for Vertebral Segmentation in Axial Computed Tomography Image Slices
  Dr N Thacker, Dr P Bromiley
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality. Vertebral fractures (VFs) are often an early manifestation of osteoporosis but are significantly under-diagnosed in clinical practice.
  Precision Medicine DTP – A novel data integration method for cellular social networks within self-organising multicellular systems
  Research Group: Institute of Stem Cell Research
  Dr G Blin, Dr L Schumacher, Dr A Tsanas
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. The quantification and interrogation of how the cells organise and interact with their environment is fundamental for advancing developmental biology, cancer research, pharmaceutics and medical diagnostics.
  PhD in Computing Science: Data compression at the quantum limit for big-data machine learning applications
  Prof R Murray-Smith, Prof D Faccio
Applications accepted all year round

Funding Type

PhD Type

Background.
  Machine learning to locate defects in ultrasonic inspection images
  Prof T Cootes, Dr M Fergie
Applications accepted all year round

Funding Type

PhD Type

It is important that manufactured components are inspected to identify defects which may cause early failure, particularly in safety critical systems.
  Machine Learning for Computational Medical Imaging
  Dr M Golbabaee, Prof P Hall
Application Deadline: 8 December 2019

Funding Type

PhD Type

The University of Bath is inviting applications for a fully funded PhD studentship based in the Department of Computer Science and under the supervision of Dr Mohammad Golbabaee (lead supervisor) https://mgolbabaee.wordpress.com/ and Prof Peter Hall (co-supervisor) https://researchportal.bath.ac.uk/en/persons/peter-hall.
  Robot grasping and manipulation for materials discovery in a chemistry lab
  Prof A Cooper, Dr S Luo
Application Deadline: 30 January 2020

Funding Type

PhD Type

New materials are the foundation of the development of key technologies such as advanced batteries for electric vehicles, solar cells, catalysts for clean energy, and more.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Precision Medicine DTP - Large-Scale Data-Driven Lung Cancer Diagnostics using Time-Resolved Fluorescence Spectroscopy (TRFS)
  Dr S Seth, Dr KD Dhaliwal, Dr M Khadem
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Pulmonary nodules are common, often incidental, findings on chest CT scans. The investigation of pulmonary nodules is, however, time-consuming and often leads to protracted follow-up with ongoing radiological surveillance.
  Reducing Uncertainty in the Response of the Earth System to Anthropogenic CO2 Emissions with Statistical Emulation of Land Surface Models. PhD in Mathematics (NERC GW4+ DTP)
  Dr O Stoner
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Dr Oliver Stoner, Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter.
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