Imperial College London Featured PhD Programmes
University of Portsmouth Featured PhD Programmes
Heriot-Watt University Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes
University of Reading Featured PhD Programmes
"occupational"×
10 miles

Data Analysis (occupational) PhD Projects, Programs & Scholarships

We have 10 Data Analysis (occupational) PhD Projects, Programs & Scholarships

  • "occupational" ×
  • Data Analysis×
  • clear all
Order by 
Showing 1 to 10 of 10
  Epidemiology and outcomes of psoriatic arthritis
  Dr G Jones, Prof G Macfarlane, Dr R Hollick
Application Deadline: 27 March 2020

Funding Type

PhD Type

Psoriatic arthritis (PsA) presents a unique clinical challenge. Characterised by inflammatory joint disease, enthesitis, skin and nail disease, it is also associated with vascular risk and increased likelihood of metabolic syndrome.
  Epidemiology and outcomes of psoriatric arthritis
  Dr G Jones, Prof G Macfarlane, Dr R Hollick
Application Deadline: 13 March 2020

Funding Type

PhD Type

Psoriatic arthritis (PsA) presents a unique clinical challenge. Characterised by inflammatory joint disease, enthesitis, skin and nail disease, it is also associated with vascular risk and increased likelihood of metabolic syndrome.
  Fibrous minerals in the environment – occurrence, longevity and risk to human health.
  Dr D Bullen, Dr A Gibson, Dr M Fowler
Application Deadline: 23 February 2020

Funding Type

PhD Type

Applications are invited for a fully-funded three year PhD to commence in October 2020. The PhD will be based in the Faculty of Science and Health, and will be supervised by Dr Bullen, Dr Gibson and Dr Fowler.
  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.
  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.
  Crumbling reefs: Simulation based monitoring of coral reefs (EPS2020/31)
  Dr U Wolfram
Application Deadline: 28 February 2020

Funding Type

PhD Type

The project aims to develop computational models to analyse the impact of ocean acidification on cold-water coral reefs. Results will be used in the development of monitoring strategies to preserve some of the most vulnerable ecosystems.
  Information Extraction from Scientific Texts to support Nature-Inspired Engineering (EPS2020/39)
  Prof M Desmulliez
Application Deadline: 28 February 2020

Funding Type

PhD Type

Nature has inspired various highly innovative engineering solutions, such as Velcro, the Japanese bullet train and others. Solving engineering problems using Nature requires however specific and interdisciplinary domain knowledge.
  Modelling growth, deposition and breakage of dynamic particle structures (EPS2020/52)
  Dr V Francia
Application Deadline: 28 February 2020

Funding Type

PhD Type

Investigation of the structure of cohesive powders under various flow regimes. Combining AI driven tools with state-of-the-art computational fluid dynamics (CFD) and discrete element methods (DEM), we will look into how dynamic particle structures form in complex systems.
  MyFemur: Multiscale modelling from clinical image to personalised model to manufacture (EPS2020/30)
  Dr U Wolfram
Application Deadline: 28 February 2020

Funding Type

PhD Type

Our vision in this project is to create a computational framework for the proximal femur that can allow clinicians to take limited clinical imaging data, e.g.
  Smart Local Energy Systems (SLES) (EPS2020/43)
  Dr D Flynn
Application Deadline: 28 February 2020

Funding Type

PhD Type

The future potential of critical energy infrastructure is the integration of smart local energy systems (SLES). SLES will be tailored to the needs of the community in order to optimise the cost, resilience and low carbon attributes the climate emergency demands.
Show 10 15 30 per page
  • 1


FindAPhD. Copyright 2005-2020
All rights reserved.