Advances in molecular and digital pathology, imaging and genomics promise to have a huge impact on medicine, patients and our understanding of human disease. We deploy the full range of modern tools to answer important questions on causation, screening and treatment.
<p>Our key achievements include improving outcomes in bowel cancer through understanding the mechanisms of disease recurrence, improving the quality of surgery, understanding the importance of preoperative treatment, imaging and the role of molecular diagnostics. The integration of data analytics, together with expertise on clinical imaging and close collaborations with computing, data visualisation and health engineering, enhances our potential to deliver personalised diagnoses.</p>
<p>To submit an application in this research area please complete an <a href="https://studentservices.leeds.ac.uk/pls/banprod/bwskalog_uol.P_DispLoginNon">online application form</a> and submit this alongside a research proposal, a full academic CV, degree transcripts (or marks so far if still studying) and degree certificates. If English is not your first language, you must provide evidence that you meet the Faculty’s minimum <a href="https://medicinehealth.leeds.ac.uk/faculty-graduate-school/doc/entry-requirements-1">English language requirements</a>.</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>
<p>For further information please contact the Graduate School Office<br /> e: <a href="mailto:email@example.com">firstname.lastname@example.org</a>, t: +44 (0)113 343 8221</p>