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Bioinformatics (genomic) PhD Projects, Programmes & Scholarships

We have 43 Bioinformatics (genomic) PhD Projects, Programmes & Scholarships

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We have 43 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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Enhanced variant interpretation for the discovery of mechanisms underpinning Ophthalmic genomic disorders

This project will utilize large genomic sequencing datasets from the 100,000 genomes project and the UK BioBank to understand how genomic variation impacts the development and function of cells vital for correct vision. Read more

Population genomic analysis of the Aotearoa New Zealand Yellowtail kingfish – haku for community-led aquaculture

Project Description. We are seeking a highly motivated PhD student for a project that aims to sequence the kingfish (Seriola lalandi) genome, conduct a population genomic study, and help prepare this species for a community-led Māori aquaculture initiative in Aotearoa New Zealand. Read more

Computational approaches for rapid pathogen genomic sequence analysis

Research interests/description of main research theme. In order to better guard against the rapid spread of high-risk strains of infectious diseases in the future, we must better leverage the large scale collection and processing of genomic data that is possible with today’s technologies. Read more

Discovery and mechanism evaluation of synthetic lethality in cancers of mesenchyme

In order to circumvent evolutionary selection and resistance to environmental context and anti-cancer agents, novel approaches that result in synthetic (synergistic) cell lethality (dependencies) that are specific for the cancer cell are most likely to have translational impact. Read more

A Multi-Omics approach to understanding cardiovascular risk in patients with End-Stage Kidney Disease

Background. End-stage Kidney failure, also known as End-Stage Kidney Disease (ESKD), is the final, irreversible stage of chronic kidney disease (CKD), where kidney function has worsened to the point that the kidneys can no longer function independently. Read more

Genomic signatures of pathogen evolution in Acinetobacter (EVANSB_U23FMH)

Background   . Some species in the bacterial genus Acinetobacter are responsible for causing serious infections that can be difficult to treat due to high levels of antibiotic resistance. 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

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