Research Associate in Computational Pathology: The University of Cambridge is inviting applications for a postdoctoral Research Associate to work in the Department of Oncology. The successful candidate will join an interdisciplinary team to develop deep learning approaches to model the spatial evolution of ovarian cancer. The research will involve computational pathology methods and data integration from various sources, such as genomics, transcriptomics, and radiological imaging.
Research Area:
The research area will focus on developing new deep learning approaches to model the multi-scale spatial evolution of ovarian cancer. The successful candidate will drive the development and application of computational pathology methods and data integration to quantify tumour heterogeneity across multiple locations and time points.
Eligibility/Qualification:
- PhD degree in a computational discipline such as bioinformatics, physics, mathematics, engineering, or similar.
- Experience in two or more of the following areas: bioinformatics, genomics, machine learning, multi-omic data integration, deep learning, image analysis.
Job Description:
The Research Associate will be responsible for developing and conducting research objectives, proposals and projects with guidance from mentors. They will also be expected to assist in the supervision of student projects, the development of student research skills, provide instruction and plan/deliver seminars related to the research area. The ideal candidate will have excellent collaborative skills and enthusiasm for multidisciplinary work.
How to Apply:
To apply, click the ‘Apply’ button and register an account with the recruitment system. Upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how the candidate matches the criteria for the post and why they are applying for this role.
