Postdoc and data scientist available at University of Glasgow
Ke Yuan
Research Associate/Fellow in Deep Learning for Medical Image Analysis.
The post holder will drive to a collaborative project between School of Computing Science, University of Glasgow (https://www.gla.ac.uk/computing ) and the Human Genetics Group of the Global Computational Biology and Digital Science (gCBDS) area at Boehringer Ingelheim (BI, https://www.boehringer-ingelheim.com/).
Leveraging rich information from the human biobanks such as the UK Biobank and Cancer Genomics such as the TCGA consortium, the post holder will be working in the broad area of deep learning for medical image analysis, omics and genetics, with skills combining some expertise and / or interest in the following areas: machine learning, AI, image analysis and human genetics. We are looking for someone with experience / wish to learn some of the following: deep representation learning models, medical image, genetic and clinical data analysis.
Further details: https://www.jobs.ac.uk/job/CIR022/research-associate-fellow
Informal enquiries and requests for further information can be made to Dr. Ke Yuan (e-mail: Ke....@glasgow.ac.uk).Data Scientist in Machine Learning for SARS-CoV-2 evolution
The post holder will join the School of Computer Science, University of Glasgow and will make a leading contribution to a Wellcome Trust funded COVID-19 project, AFRICO19. You will be embedded (working remotely or on site) with researchers based in the School of Computer Science, University of Glasgow, (https://www.gla.ac.uk/computing) and MRC-University of Glasgow Centre for Virus Research (CVR) (https://bioinformatics.cvr.ac.uk). The project will involve working with researchers at the MRC/UVRI and LSHTM Uganda Research Unit Uganda, KEMRI-Wellcome Trust Research Programme Kenya, and the MRC Unit The Gambia at LSHTM.
Specifically, the postholder will support the key project goal: analysis of genome sequence surveillance data from AFRICO19 partners and global data from GISAID (currently >2.5 million sequences) using machine learning and bioinformatics to answer questions on viral evolution and its public health implications. A main aim is to predict the consequences of mutations associated with variants of interest and concern, in particular those contributing to altered antigenic properties and potential escape from immunity (natural or vaccines-elicited).
Further details: https://www.jobs.ac.uk/job/CIQ547/data-scientist
Informal enquiries and requests for further information can be made to Dr. Ke Yuan (e-mail: Ke....@glasgow.ac.uk) and Prof David Robertson (e-mail: David.L....@glasgow.ac.uk).