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Data Analysis (computers) PhD Projects, Programs & Scholarships

We have 6 Data Analysis (computers) PhD Projects, Programs & Scholarships

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  Protecting our seas using computers - Modelling and forecasting the expansion of a highly invasive seaweed
  Dr B Chen, Prof M Heath
Applications accepted all year round

Funding Type

PhD Type

This fully-funded 3.5 year studentship will remain open only until filled. We recommend applying immediately. In this project, you will meet with the challenge of developing an individual based model to simulate the growth and dispersal of a highly invasive seaweed (Japanese eelgrass) driven by coastal ocean currents.
  Privacy and Security by Design for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The design process for Internet of Things (IoT) applications is more complicated than for desktop, mobile, or web-based platforms.
  Nuclear and cell shape characterisation in oral cancer/precancer
  Prof G Landini
Applications accepted all year round

Funding Type

PhD Type

Quantitative Pathology investigates problems in pathology using innovative, analytical methods to collect reliable, quantifiable and reproducible markers of disease.
  Systematisation of epithelial architecture using mathematical morphology and graph theory
  Prof G Landini
Applications accepted all year round

Funding Type

PhD Type

Quantitative Pathology investigates problems in pathology using innovative, analytical methods to collect reliable, quantifiable and reproducible markers of disease.
  EPSRC-BT Industrial CASE PhD Studentship: Multi-Stage Cyber-Attack Prediction Using AI and Machine Learning Approaches - PhD Computer Science (Fully Funded)
  Dr C Luo, Prof G Min
Application Deadline: 27 June 2019

Funding Type

PhD Type

BT Industrial Supervisor. Dr Xiao-Si Selina Wang, Research Manager, Threat Modelling & Simulation.
  Integrative Computational Biology and Machine Learning: Combining computational biology, computational chemistry, and machine learning techniques with biological big data to unravel the higher genomic code of life
  Dr A Sahakyan, Prof P McHugh
Application Deadline: 26 July 2019

Funding Type

PhD Type

In the Sahakyan Group, we strive to make computational biology maximally independent from empirical experimental data, by basing our models and predictions on genomic sequences and core biological mechanisms.
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