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Bioinformatics PhD Projects, Programmes & Scholarships

We have 307 Bioinformatics PhD Projects, Programmes & Scholarships

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Biological Sciences

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I am a self funded student


We have 307 Bioinformatics 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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Systems level analysis of platelet signalling

We are interested in how intracellular signal transduction networks bring about complex biological behaviours in cells. We do this by combining computational biology with wet laboratory experimentation. Read more

Treating cancer by targeting the mechanical properties of cells

Breast cancer development is marked by massive increase of matrix fibres around tumor cells, which changes the mechanical properties of the tissue and is used to diagnose tumours by manual palpation. 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

Sonification and smart sensors for healthy ageing

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group.  in collaboration with the Exeter Biomechanics Research Team (ExBiRT), University of Exeter. Read more

Smart sensors and spectral techniques in human movement science

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group.  in collaboration with the Exeter Biomechanics Research Team (ExBiRT), University of Exeter. Read more

Using CRISPR in iPS cells to modify platelet function

Platelets are the small cells in the blood whose job it is to prevent bleeding. Under normal conditions, when they encounter a damaged blood vessel they become activated and form a thrombus. Read more

Next generation wearable healthcare sensors

The aim of this project is to research and develop the next generation of Internet of Things (IoT) connected wearable sensor technologies for applications in healthcare and physiotherapy. Read more

Multilevel selection on transposition rates in cancer

Cancer is an evolutionary process. Cells in a tumour vary due to mutation, and so over many generations they adapt in response to both intrinsic selective pressures (such as anoxia) and extrinsic selective pressures (such as chemotherapy). Read more

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