We have 31 Bioinformatics PhD Projects, Programmes & Scholarships in London



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London  United Kingdom



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Bioinformatics PhD Projects, Programmes & Scholarships in London

We have 31 Bioinformatics PhD Projects, Programmes & Scholarships in London

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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Deep learning and bioinformatics approaches for personalised medicine

An exciting opportunity to work within a highly multidisciplinary group at the Biomedical AI and Data Science Lab (www.hebasailem.com) at the School of Cancer and Pharmaceutical Sciences to develop new computational pathology approaches to improve cancer patient treatment and diagnosis. Read more

Transcriptome homeostasis in cellular ageing and cancer

Project Summary. We have previously established the oncogenic mechanisms of the transcription factor FOXM1 in perturbation of genome stability (1, 2), epigenome (3, 4) and adult progenitor epithelial stem cell proliferation (5). Read more

Transcriptome biomarkers and mechanisms of chemoresistance

Project Summary. This project aims to identify biomarkers linked to the most potent multimodal anticancer therapy with the least toxicity to counteract hemoresistance in head and neck squamous cell carcinoma (HNSCC). Read more

Development of AI framework for iPSC image analysis and integration with transcriptomics

A fully funded PhD Studentship is available to work with Professor Viji Draviam, Professor of Quantitative Cell and Molecular Biology and Director of Industrial Innovation, School of Biological and Behavioural Science, Queen Mary University London, and Dr Victor Neduva, Senior Director, Genome and Biomarker Sciences, MSD. Read more

Functional Mechanisms of Genetic Risk Factors for Immune-Related Disease

Who are we?. We are a vibrant, outward-looking, multi-disciplinary research group interested in understanding how genetic risk factors can impact on both susceptibility to infection and to autoimmune disease. Read more

Gene Regulation in human organoids

We are seeking a highly motivated and enthusiastic candidate with a background in stem cell biology, biochemistry, molecular biology, and/or developmental biology to study gene regulation in human organoids. Read more

Exploration of deep learning based generative adversarial networks (GANs) to mitigate bias in the evaluation of medical images among diverse population and disease sub-groups

Medical image analysis using Deep Learning models involves training on progressively larger datasets. Homogeneity of data within the training set, particularly in its representation of diverse population sub-groups and various disease stages, substantially influences model effectiveness. Read more

Soc-B Studentship: 4 Year PhD in Biosocial Research

The Soc-B Centre for Doctoral Training (CDT) offers unique PhD training in biosocial research funded by the Economic and Social Research Council (ESRC) and the Biotechnology & Biological Sciences Research Council (BBSRC) to build capacity in this growing area of interdisciplinary scientific endeavour. Read more

Transcriptional networks impacting metabolism and cytoarchitecture during ageing

Supervisors: Dr Charalampos (Babis) Rallis. Funding: SBBS Start-up Studentship. Deadline: 31st October 2023. The following fully-funded PhD studentship is available in the School of Biological and Behavioural Sciences with an expected start date of Jan 2024. Read more

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