|£18,622 Competition Funded Project (Home and International)
|31st October 2023
|15th January 2024
With an incidence of >1.4 million cases worldwide, prostate cancer is the most common non-skin cancer in men. Overall, one in eight men will obtain a diagnosis in their lifetime. However, this rate is doubled in men of African descent and tends to be more aggressive.
The reasons for these differences in prostate cancer outcomes across ethnicities are not understood. One possibility is that microbial differences contribute. In groundbreaking research, we have recently found that certain types of bacteria are associated with aggressive prostate cancer.
In this PhD, you will seek to answer the question: Are differences in prostate cancer outcomes between ethnic groups caused by bacteria?
In this PhD, you will refine computational methods for identifying microbes in cancer whole genome sequencing data5. You will apply these to large prostate cancer datasets from men of different ethnic backgrounds collected by the large, collaborative international consortia in which we are involved. You will use bioinformatics and machine learning to explore the microbiome and genomic features of cancer. Ultimately, you will discover important associations that could improve patient care.
This is a PhD in bioinformatics. During the PhD, you will learn how to deal with "Big Data," high performance computing, pipeline development, and statistical analyses. We have extensive experience helping people to become experts at the forefront of cancer, biology, and data science. A training programme designed specifically for you will be created. You will be a member of UEA’s Cancer Genetics team, an interdisciplinary team comprised of bioinformaticians and lab-based scientists. We have a broad interest in translational cancer molecular studies with the goal of improving patient care including urine-based biomarker development, whole genome sequencing studies, cancer-subtype detection, and bacteria in cancer studies. We will seek Turing award funding to enable the successful applicant to spend part of this studentship in Sydney.
A minimum of a 2:1 honour degree in Computer Science, Physics, Mathematics, Engineering, Biological Sciences, Biochemistry, or Biomedical Science.
This PhD project is in a Faculty of Medicine and Health Sciences competition for funded studentships. These studentships are funded for 3 years and comprise UK (Home) fees, an annual stipend of £18,622 and £1,000 per annum for research training (RTSG). International applicants may apply but are required to secure additional funding to fund the difference between UK and overseas tuition fees (visit: https://www.uea.ac.uk/study/fees-and-funding/fees for details of Home and Overseas fee rates).
Start Date: October 2024
For more information on this project, please visit https://www.uea.ac.uk/search/courses/
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