Heriot-Watt University Featured PhD Programmes
University of Leicester Featured PhD Programmes
FindA University Ltd Featured PhD Programmes
Monash University Featured PhD Programmes
University of Bristol Featured PhD Programmes
"genetic" AND "algorithms…×
10 miles

genetic algorithms PhD Projects, Programs & Scholarships

We have 11 genetic algorithms PhD Projects, Programs & Scholarships

  • "genetic" AND "algorithms" ×
  • clear all
Order by 
Showing 1 to 10 of 11
  Species Conservation Evolutionary Algorithms for multi-objective optimisation and applications in Engineering
  Research Group: Mechanical and Process Engineering
  Dr JP Li
Applications accepted all year round
This highly multidisciplinary PhD project will develop computational methods or optimisation frameworks to solve engineering optimisation problems.
  Evolutionary algorithms for engineering applications: developing computational methods and optimisation frameworks to solve engineering optimisation problems
  Research Group: Mechanical and Process Engineering
  Dr JP Li
Applications accepted all year round
This highly multidisciplinary PhD project will develop computational methods and optimisation frameworks to solve engineering optimisation problems.
  Employing artificial intelligence & machine learning to optimise flood control for 21st Century cities
  Prof O Bokhove
Applications accepted all year round
Summary Rational and unique mathematical strategies for active flood control will be developed and tested in the design of flood alleviation schemes for UK rivers, such as Yorkshire’s Aire and Calder Rivers, based on increasing flood-plain storage capacity.
  Extracting novel algorithms from Nature
  Dr G Bassel, Dr I Johnston
Application Deadline: 22 January 2019
The development of algorithms underpins the information processing age and data science. Creating novel algorithms capable for processing information under different conditions and scenarios provides opportunities to extend computation to new domains and under different conditions.
  Design and Analysis of Algorithms for Continuous Optimisation with Applications to Crystal Structure Prediction
  Prof P Krysta, Dr M Dyer, Dr R Savani
Application Deadline: 31 July 2019
This position will remain open until a suitable candidate has been found. This PhD position is funded by the Leverhulme Centre for Functional Materials Design that has been recently launched at the University of Liverpool.
  Optimal Water Distribution Network Design with Nature Inspired Computing (NIC)
  Research Group: Institute for Infrastructure & Environment
  Dr R Rustum, Dr G B Wright
Application Deadline: 1 February 2019
The design and operation of water distribution networks is a complex process, and typically involves determining suitable pipe diameters to ensure sufficient flow rates and pressures throughout a system whilst minimising costs.
  Performance optimisation of accelerators using machine learning techniques
  Prof C Welsch, Dr J Resta-Lopez
Application Deadline: 31 January 2019
Reliable and realistic accelerator models are essential for the efficient control and performance optimisation of any accelerator.
  Exploiting druggability host spots in protein phosphatase targets
  Dr L Tabernero, Prof D Procter, Dr S Butterworth
Applications accepted all year round
In the past years the use of virtual screening or computer-based screening of compound libraries against selected targets has expanded exponentially the boundaries of drug discovery.
  DTC CS 13 -Fast DNA alignment algorithms for mainstream DNA analysis
  Dr B Mora
Applications accepted all year round
Alignment of DNA sequences has had a profound impact on health science – e.g. cancer genome sequencing for targeted therapy or identification of genetic disorders – but is still unfortunately very costly due to the huge amount of processing power needed.
  Novel imaging biomarkers for prognosis of developmental outcomes in babies born preterm using machine-learning
  Dr M Deprez
Applications accepted all year round
1st Supervisor - Dr Maria Deprez. 2nd Supervisor - Dr Marc Modat. The aim of this project is to take advantage of state-of-the-art machine learning algorithms to improve our understanding of brain development and neurocognitive outcomes in babies born preterm.
Show 10 15 30 per page


FindAPhD. Copyright 2005-2019
All rights reserved.