PANCAIM partner UoG has opened a call for applications for a research associate position (postdoc) within the PANCAIM project.
The post is ideally suited for a motivated individual with a PhD in a relevant field. Applicants should be driven by scientific curiosity, and have an excellent publication record for their career stage and scientific background. Ideally, the successful candidate would have a strong track record or keen interest in artificial intelligence and machine learning, and a deep understanding of the associated experimental methodologies. Experience with genomics and digital pathology analysis would be an advantage.
The candidate will join the laboratories of Professor David Chang (Institute of Cancer Sciences) and Dr Ke Yuan (Computer Science) and use a multidisciplinary approach to study artificial intelligence and machine learning applications in the management of pancreatic cancer for which the full utility of molecular data, has not been fully explored and capitalised on. In this context, the post holder will perform research on machine learning and AI approaches to better prognosticate and better prediction of treatment response in pancreatic cancer utilising genomics, transcriptomic, digital pathology / pathomics and radiology / radiomics.
This post is funded through PANCAIM and the candidate will have close interaction with other researchers and members of the consortium.
For informal enquiries and requests for further information, please contact Professor David Chang (David.Chang@glasgow.ac.uk) Dr. Ke Yuan (Ke.Yuan@glasgow.ac.uk).
For more information, please see https://www.jobs.ac.uk/job/CTJ155/research-associate.
Interested? Apply online until 17 October 2022 at: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=094428