We are looking to appoint a Senior Researcher in Biostatistics in Statistical Machine Learning and Deep Generative Modelling to join the Oxford-Novartis Collaboration in AI Medicine team at Nuffield Department of Medicine
Requirements:
It is essential that you hold a PhD/DPhil in Statistics, Statistical Machine Learning, deep generative modelling, or similar subject with post-qualification research experience and the ability to develop research projects. You will have a strong publication record in peer-reviewed journals and conferences, and the experience developing conditional diffusion model, flow matching or similar topics. You will also have experience in high-throughput data analysis, integration and interpretation (e.g. high-throughput sequencing, proteomics, array-based technologies, etc.), preferably in human diseases
Text:
Senior Postdoctoral Researcher in Biostatistics - Statistical Machine Learning and Deep Generative Modelling Big Data Institute, Li Ka Shing Centre for Health Information and Discovery Old Road Campus, Headington, Oxford, OX3 7LF Additional location: Department of Statistics, 24-29 St Giles’, Oxford, OX1 3LB We are looking to appoint a Senior Researcher in Biostatistics in Statistical Machine Learning and Deep Generative Modelling to join the Oxford-Novartis Collaboration in AI Medicine team at Nuffield Department of Medicine. Under the line management of Dr. Habib Ganjgahi and close collaboration with Professors Chris Holmes and Thomas Nichols, you will exploit recent advances in deep probabilistic generative modelling including conditional denoising diffusion models, flow matching to synthesise advanced, high-resolution brain MRI scans from conventional low-resolution scans of different contrast. In addition, you develop state of the art predictive modelling based on deep generative models to predict patient outcomes under different exposures. It is essential that you hold a PhD/DPhil in Statistics, Statistical Machine Learning, deep generative modelling, or similar subject with post-qualification research experience and the ability to develop research projects. You will have a strong publication record in peer-reviewed journals and conferences, and the experience developing conditional diffusion model, flow matching or similar topics. You will also have experience in high-throughput data analysis, integration and interpretation (e.g. high-throughput sequencing, proteomics, array-based technologies, etc.), preferably in human diseases. Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. This position is offered full time on a fixed term contract until 31 August 2027 and is funded by Novartis. Only applications received before 12 midday on Monday 14 October 2024 will be considered. Please quote 172995 on all correspondence. Contact Person : Margarita Monroy Vacancy ID : 172995 Contact Phone : 01865287757 Closing Date & Time : 14-Oct-2024 12:00 Pay Scale : STANDARD GRADE 8 Contact Email : recruitment@ndm.ox.ac.uk Salary (£) : Salary in range £47,085 - £52,783 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,500 per year (pro rata). var links = document.querySelectorAll(".targetLink"), i, j, aTags, string; for(i=0; i < links.length; i ){ aTags = links[i].querySelectorAll("a for(j=0; j < aTags.length; j ){ string = aTags[j].href; if(string.indexOf("javascript") === -1) { aTags[j].target = "_blank"; } } } Click on the link(s) below to view documents Filesize 172995 - Senior Postdoctoral Researcher in Biostatistics - JD 295.4
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