Prof Florian Markowetz
No more applications being accepted
Funded PhD Project (Students Worldwide)
About the Project
The Markowetz lab offers a PhD position in computational cancer genomics to explore cancer evolution on a single-cell level. The lab has a strong track record in inferring patterns of tumor evolution from genomic profiles. This project will use a large number of single-cell genomic profiles and paired tissue images to characterise the early steps of cancer evolution.
This project is an opportunity to become part of cutting-edge cancer research in the vibrant scientific community of the CRUK Cambridge Institute.
The successful applicant will have a degree in a quantitative field like mathematics, statistics, physics, engineering, bioinformatics, or computer science. The applicant should have a good biological background and excellent computing skills. The atmosphere at CI is very collaborative and interactive; good communication skills are key.
To apply, please send your academic CV and a covering letter as attachments to [Email Address Removed]. Your CV should include a list of the examinations taken at undergraduate level and if possible, your examination results. Also the names and contact details of two academic referees who have agreed to act on your behalf. Your covering letter should explain why you wish to be considered for the studentship and which qualities and experience you will bring to the role. Please also state how you learned of the studentship.
Funding Notes
This studentship is funded by Cancer Research UK and includes full funding for University and College fees and in addition, a stipend of £19,000 per annum.
No nationality restrictions apply to Cancer Research UK funded studentships. Applications are invited from recent graduates or final year undergraduates who hold or expect to gain a first/upper second class degree (or equivalent) in a relevant subject from any recognised university worldwide.
The successful applicant will have a degree in a quantitative field like mathematics, statistics, physics, engineering, bioinformatics, or computer science. The applicant should have a good biological background and excellent computing skills.
Continue with Facebook
