PhD Studentship – Bioinformatics Norwich, A PhD applying machine learning techniques to Next Generation Sequencing Big Data to improve the prediction of prostate cancer patient outcome.
The University of East Anglia – School of Medical and Health Sciences
|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||£15,009 and £1000 per annum to support research training|
|Placed On:||6th March 2020|
|Closes:||17th April 2020|
Location: University of East Anglia
Start date: October 2020
Closing date: 17/04/2020
No. of positions available: 1
Hours: Full time
Supervisor: Dr. Daniel Brewer
Prostate cancer (PCa) is the second most common cancer in men worldwide and an estimated 307,000 men annually die from PCa worldwide. The progression of PCa is highly variable, with some cancers laying dormant for many years while others advance rapidly.
Risk assessment at the time of diagnosis is a critical step in disease management, determining whether the cancer is simply monitored or there is radical intervention by prostatectomy or radiotherapy. Unfortunately, there is currently no completely reliable approach to predict which tumors will progress and kill the patient.
The last decade has seen an explosion in the amount of global in silico data, which has led to new tools and techniques being developed to optimally utilize it. In medical research, the amount of data available has rapidly increased with the introduction of next-generation sequencing. The international Pan-Prostate Cancer Group (PPCG; http://panprostate.org) has produced an unprecedented set of data from over 2000 men with PCA. This consists of whole-genome sequencing, methylation, transcriptome, clinical and histopathology information.
By applying cutting-edge machine learning techniques to the multiple layers of clinical and molecular data available from the PPCG you will help build an improved predictor of aggressive disease and gain a greater understanding of PCa etiology.
This is a bioinformatics/data analysis-based Ph.D. During the Ph.D. you will gain knowledge on how to deal with “Big Data”, high-performance computing, developing pipelines and statistical analyses. You will be part of the Cancer Genetics team at the Norwich Medical School, which is an interdisciplinary team comprising a mixture of bioinformaticians and lab-based scientists.
We have a broad interest in translational cancer based molecular studies with the aim of improving patient care. The research includes urine-based biomarker development, whole-genome sequencing studies, cancer-subtype detection and bacteria in cancer studies.
Acceptable first degree in Computer Science, Physics, Mathematics, Engineering, Biological Sciences, Biochemistry, Biomedical Science
The standard minimum entry requirement is 2:1
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 of Home/EU fees, a stipend of £15,009 and £1000 per annum to support research training. Overseas applicants may apply but are required to fund the difference between home/EU and overseas tuition fees (in 2020-21 the international fee is £19,100 for lab-based projects and £15,700 for non-lab based projects but fees are subject to an annual increase).
To Apply: Click here.
PhD Studentship – Bioinformatics Norwich
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