فرصت پسادکتری پاتولوژی محاسباتی در دانشگاه آکسفورد انگلستان

Applicants are invited for a 12 month position at the Nuffield Division of Clinical Laboratory Sciences (Radcliffe Department of Medicine) University of Oxford to participate in research relating to the early cancer diagnosis in myeloproliferative neoplasms (MPN) and primary skin lymphomas using computational pathology and machine learning. You will join a group of researchers in the fields of pathology and machine learning/computer vision techniques who are collaborating as part of a CRUK funded Early Cancer Detection Innovation Award.

The position is ideally suited for a postdoctoral researcher who has a strong background in biomedical image analysis, machine learning and computational biology. An academic/clinical pathologist and engineer will jointly supervise this post.

The successful candidate will be developing algorithms that make use of the latest machine learning and computer vision techniques to analyse cell and tissue morphology at different scales. Central to this role will be the development of methods that facilitate the assessment of bone marrow trephines and skin biopsies in the context of haematological malignancies, enabling objective and accurate assessment of disease subtypes with the identification of clinically relevant features.

The position will be based in the Nuffield Division of Clinical Laboratory Sciences (NDCLS), Radcliffe Department of Medicine, John Radcliffe Hospital, Oxford. You will be working with pathologists from the Oxford University Hospitals NHS Foundation Trust and the University of Oxford; there is a particular focus on development and evaluation of next-generation technologies for use in clinical diagnostics. The postholder will spend their time between NDCLS and the BioMedIA Lab at the Institute of Biomedical Engineering and Big Data Institute. The postholder will familiarise themselves with quality assurance and the regulatory framework of laboratory management in the UK and internationally including CPA standards, UK GTN standards, Health and Safety policies and Clinical Governance policies.

In this role, you have the opportunity to develop exciting new technologies and contribute towards their translating into the clinical environment.

The successful candidate will be required to hold a relevant PhD/DPhil, together with relevant experience, possess sufficient specialist knowledge in the discipline to work within established research and have previous experience of contributing to publications / presentations. Further requirements are listed in the job description below.

The position is available full-time immediately for 12 months. Candidates are encouraged to discuss their needs and preferences for work arrangements at interview.

Applications for this vacancy are to be made online. For further details, including a job description and person specification, please see below.

The closing date for applications is 12.00 noon on 10 June 2020.