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Bioinformatics (genomic) PhD Projects, Programmes & Scholarships

We have 121 Bioinformatics (genomic) PhD Projects, Programmes & Scholarships

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We have 121 Bioinformatics (genomic) PhD Projects, Programmes & Scholarships

A Bioinformatics PhD would provide you with the opportunity to work on an extended, in-detail project through the analysis of large sets of data. Bioinformatics programmes tend to be mostly ‘dry’ work with limited (if any) time in the laboratory conducting experiments. Since the focus is analysis of data, the choice of projects spans many subjects from analysing bacterial evolution, to modelling the spread of disease.

What’s it like to do a PhD in Bioinformatics?

As a Bioinformatics PhD student, you’ll work with the latest software and become proficient with programming in R, Python and MATLAB. You’ll also gain extensive experience with techniques from statistics and data science, all of which will allow you to analyse data effectively.

Some typical research topics in Bioinformatics include:

  • Genetic mapping
  • Population dynamics
  • Epidemiological modelling (modelling disease spread)
  • Improving diagnosis through the development of an algorithm
  • Using omic technology to study a disease state
  • Modelling and predicting evolution

Most Bioinformatics programmes advertised projects with full funding attached. These projects have a pre-determined aim, but you can alter the project along the way to suit your interests.

Compared to other Biology programmes, there is more opportunity of proposing a project, though this remains uncommon. While the majority are advertised projects, some doctoral training programmes offer bioinformatics projects in a given area and leave you to propose the specifics of the project.

In a normal day you’ll be writing programmes to identify new features in the data, analysing results using statistics and data science methods and discussing your project with your supervisor and colleagues.

At the end of the three or four years you’ll complete a thesis of around 60,000 words, which will contribute to your field and you’ll defend it during your viva exam.

Entry requirements

The entry requirements for most Bioinformatics PhD programmes involve a Masters in a related subject including Maths, Biological Science, Computer Science, or Software Engineering, with at least a Merit or Distinction. If English isn’t your first language, you’ll also need to show that you have the right level of language proficiency.

PhD in Bioinformatics funding options

The Research Council responsible for funding Bioinformatics PhDs in the UK is the Biotechnology and Biological Sciences Research Council (BBSRC). They provide fully-funded studentships including a stipend for living costs, a consumables budget for bench fees and a tuition fee waiver. Students don’t apply directly to the BBSRC, you apply for advertised projects with this funding attached.

It’s uncommon for Bioinformatics PhD students to be ‘self-funded’ due to the additional bench fees. However, if you were planning to fund yourself it might be achievable (depending on your project) through the UK government’s PhD loan and part-time work.

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Patterns and processes underlying genetic and adaptive variation in the Namaqua rock mouse (Micaelamys namaquensis) from southern Africa

Small mammals provide important ecosystem services as pollinators and seed dispersers (Jones and Safi 2011). They also aerate soil, regulate insect populations, support forest regeneration and are a food source for snakes, bird of prey and carnivores (Pearce & Venier 2005). Read more
Last chance to apply

Eastbio Rapid domestication of purslane (Portulaca sp.) in a vertical farm environment.

Food security requires nutritious food, consistent supply chain, sustainable production system and reduced food miles. To overcome these challenges, agriculture is shifting focus towards urban farming, specifically vertical farming (VF), where crops are grown indoors to maximize the use of limited city spaces. Read more
Last chance to apply

EASTBIO The fight for space: how do transcription and DNA replication co-exist

  Research Group: Institute of Cell Biology
Two processes essential to life, DNA replication and transcription, share the same substrate, the chromatin. However, the encounter of the advancing replication fork with the transcription machinery stalls the progression of DNA replication. Read more
Last chance to apply

Machine learning for tracing pathogens in the food chain

Salmonella is the most important food chain pathogen globally[1], causing infection and mortality in farmed animals and gastrointestinal infection of humans via consumption of contaminated foodstuffs. Read more

Self funded BMS Project: Understanding the population dynamics of haematopoietic stem cells during gene therapy for sickle cell disease

Applications accepted for PhD Only. Background. This project builds on the recent discovery that whole genome sequencing approaches in blood stem and progenitor cells can be used to estimate the number of actively contributing blood stem cells in humans (Lee-Six et al., Nature 2018). Read more

Fully funded PhD Dairy research fellowships in Victoria, Australia

The successful candidates will receive a $33,000 AUD p.a (tax-free) scholarship for up to three and a half years, professional development programs, international travel opportunities, industry exposure and access to state-of-the-art technologies. Read more

Fully funded PhD Dairy research fellowships in Victoria, Australia

The successful candidates will receive a $33,000 AUD p.a (tax-free) scholarship for up to three and a half years, professional development programs, international travel opportunities, industry exposure and access to state-of-the-art technologies. Read more

Fully funded PhD Dairy research fellowships in Victoria, Australia

The successful candidates will receive a $33,000 AUD p.a (tax-free) scholarship for up to three and a half years, professional development programs, international travel opportunities, industry exposure and access to state-of-the-art technologies. Read more

Landscape genomics and local adaptation in livestock species

Most livestock species originated in a few localities, e.g. the Fertile Crescent or the Indus Valley among others. However, today, many of those species have spread to many environments around the planet. Read more

Adaptation to environmental change in animals: ecology, evolution and genomics.

How are animals able to live in different environments, with different temperatures, energetic demands, diet, predators, parasites or pH? Thanks to advances in gene sequencing technology, we are in a remarkable period of discovery about the genomic basis of adaptation and how this depends on the intricacies of ecology and environment. Read more

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