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genetic algorithms PhD Projects, Programs & Scholarships

We have 14 genetic algorithms PhD Projects, Programs & Scholarships

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  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.
  Evolution Inspired Development of Multi-Level Selection Genetic Algorithm for General Applications
  Research Group: Fluid-Structure Interactions
  Dr A Sobey, Dr T Ezard
Application Deadline: 1 April 2019
Genetic algorithms are used in a range of diverse applications including. spacecraft antenna design, AI in computer games, determining which genes cause illness and portfolio selection for financial investments.
  Performance optimisation of accelerators using machine learning techniques
  Prof C Welsch, Dr J Resta-Lopez
Application Deadline: 31 March 2019
Reliable and realistic accelerator models are essential for the efficient control and performance optimisation of any accelerator.
  Optimisation surface characterisation
  Research Group: Communication Technologies
  Prof J A Robinson
Applications accepted all year round
Many projects in Engineering and Computer Science involve global multivariate optimisation. Classical methods include genetic algorithms, simulated annealing and particle filters.
  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.
  MRC DTP 4 Year PhD Programme: AI-Spot-Dementia (AISDA): developing machine learning algorithms to predict the risk of dementia for patients with Type 2 Diabetes
  Dr J Zhang, Prof D Steele, Dr A Doney, Prof E Trucco
Application Deadline: 19 April 2019
The aim of this PhD proposal is to develop novel machine learning algorithms (e.g., deep learning) to predict the risk of dementia in Type 2 diabetes, and detect early signs of such disease with association of clinical and genomic data in clinical settings.
  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.
  Multi-Objective Machine Learning for Concealed Weapon Detection
  Dr S Rostami, Dr E Balaguer-Ballester
Application Deadline: 30 April 2019
Concealed Weapon Detection (CWD) is an important area of research in the defence and security community. This is a result of a number of high-profile terrorist attacks which have resulted in loss of life and damage to public infrastructure.
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