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We have 21 genetic algorithms PhD Projects, Programmes & Scholarships

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genetic algorithms PhD Projects, Programmes & Scholarships

We have 21 genetic algorithms PhD Projects, Programmes & Scholarships

Last chance to apply

Using Generative AI to Draw Diagrams

Designing algorithms for human-readable, effective diagrams is difficult. The algorithm must be able to handle a broad range of datasets, some of which will not readily lend themselves to visualisation. Read more

Precision Medicine DTP - Finding shared genetic mechanisms across diseases to identify drug repurposing candidates and risk of patient co-morbidities

  Research Group: Centre for Inflammation Research
Background. Discoverying new drugs is expensive, time intensive and fraught with failure at all stages (1). An attractive alternative, with much lower costs and faster development timelines, is to find new applications for already approved drugs, a process known as drug repurposing or drug reallocation. Read more

Optimisation surface characterisation

Many projects in Engineering and Computer Science involve global multivariate optimisation. Classical methods include genetic algorithms, simulated annealing and particle filters. Read more

Physical principles underlying the assembly and adaptation of complex microbial communities

Applications are invited for a research studentship leading to the award of a PhD degree, under the supervision of Profs. Robert Endres and Samraat Pawar, to investigate the relationship between nonequilibrium thermodynamics and microbial ecosystem assembly. Read more

Quantum spin networks

Quantum spin networks form a very useful theoretical and modelling tool, because they can be applied to a wide range of physical implementations of quantum technologies. Read more
Last chance to apply

Integrative genomics prioritisation of drug targets

The MRC Integrative Epidemiology Unit at the University of Bristol is the leading group for the development and application of causal analysis and evidence triangulation in health research to improve lives. Read more
Last chance to apply

Machine Learning approaches to Pathway specific Alzheimer Disease Polygenic Risk Score

Alzheimer’s disease (AD) is the most common form of dementia, contributing to 60–70% of cases. Worldwide estimates suggest over 35 million people live with AD. Read more

Faculty of Science URSA PhD project: Applying statistical and machine learning approaches to understand the genetic basis of bacterial susceptibility to phage infection

The University of Bath is inviting applications for the following PhD project commencing in September 2024. Project background. This project offers the opportunity to apply new statistical and machine learning approaches to treat antibiotic resistant bacterial infections. Read more

Search-Based Testing and Debugging for Autonomous Driving Systems in Simulated Environments (Code: COM-03-Shin)

Did you know that more than 1.3 million people die each year as a result of car crashes worldwide? Considering the fact that around 90% of car crashes are due to human errors, we must do something to reduce this tragic figure. Read more

AI-Enhanced Healthcare - Leveraging Multimodal Data Integration for Impactful Innovation (EEE-29-Eissa)

Artificial Intelligence (AI) is transforming healthcare by enabling data-driven decision-making and predictive modelling. Engineers are at the forefront of this revolution, designing and implementing AI systems that can diagnose diseases, personalise treatments, monitor patients, and empower individuals. Read more

Evolving Engineering Designs

The power of natural evolution is all around us in the major branches of life that fill our world, underpinned by a genetic code that describes all creatures from bacteria to bananas to baboons. Read more

Deep Tissue Phenotyping and Explainable AI

Background. As life sciences becomes increasingly data-centric, AI techniques including deep learning neural networks and classical machine learning algorithms are increasingly being used to characterise, classify, and make predictions from biological datasets. Read more

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