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173110_Job Description for Post-Doctoral Research Associate in Machine Learning Machine Learning Scientist
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value: Job description and selection criteria Job title Post-Doctoral Research Associate in Machine Learning/Machine Learning Scientist Division Medical Sciences Department Nuffield Department of Women’s & Reproductive Health Group / Unit Deep Medicine Programme Location Deep Medicine, Hayes House, 75 George Street, Oxford OX1 2BQ Grade and salary Grade 8: £45,585 – £54,395 (with a discretionary range to £59,421) per annum Hours Full-time/Part-time minimum of 0.6 FTE. (applications for flexible working arrangements are welcomed and will be considered in line with business needs) Contract type Fixed term for 24 months Reporting to Dr Shishir Rao and Professor Kazem Rahimi Vacancy reference 173110 The Post Overview of the Role We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s and Reproductive Health (NDWRH), University of Oxford. The successful candidate will join a multi-disciplinary group of machine learning scientists, epidemiologists and clinicians at Deep Medicine who lead pioneering artificial intelligence (AI) research in precision medicine with a focus on multiple long term conditions (MLTC) and cardiovascular health. This prestigious research position is set to lead ground-breaking work in interdisciplinary MLTC research. The role will provide a unique opportunity to perform cutting-edge research into various aspects of chronic disease and MLTC progression, and be challenged and grow in a multi-disciplinary environment, and develop a highprofile academic career by taking a leadership role while working alongside other junior and senior researchers within Deep Medicine and proactively collaborating with other project leads and researchers from both within and external to the University of Oxford. Project The objective is to develop and enhance a range of Transformer-based models to predict the risk of key clinical outcomes,…

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Post-Doctoral Research Associate in Machine Learning/Machine Learning Scientist
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application opening date: 2024-05-30T09:00:00+01:00
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comment: We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s and Reproductive Health (NDWRH), University of Oxford. The successful candidate will join a multi-disciplinary group of machine learning scientists, epidemiologists and clinicians at Deep Medicine who lead pioneering research in precision medicine with a focus on cardiovascular health. The researcher will be expected to lead, build upon and advance this work in order to integrate various HER data sources and other omics database and build multi-type and multi-model AI solutions for risk prediction. Working with some of the largest and most comprehensive EHR, in the world, such as CPRD and UK Biobank as well as more niche “Omics” datasets, the project provides a unique opportunity to apply advanced techniques from machine learning and conduct high-impact research, while contributing to the broader goals of Deep Medicine. The objective of the project is to develop and enhance a range of Transformer-based models to predict the risk of key clinical outcomes, such as all-cause mortality and cardiovascular events and undertake subsequent analyses of the models for hypothesis generation in the context of MLTC. At the onset, the focus will be to develop robust AI models for prediction as compared to established benchmarks. The focus will then shift to explainability and association studies. The researcher is expected to take ownership of the project, propose novel methods, models and applications of ML/DL, write protocols for studies, present the ideas within the group, have advanced coding and data processing skills to execute the ideas in a timely manner and publish the results in high impact ML conferences and medical journals such as ICML, NeurIPS, Lancet, JAMA, BMJ, and Nature Machine Intelligence. As a senior researcher the holder of the position is expected work with other s…
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comment: We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s and Reproductive Health (NDWRH), University of Oxford. The successful candidate will join a multi-disciplinary group of machine learning scientists, epidemiologists and clinicians at Deep Medicine who lead pioneering research in precision medicine with a focus on cardiovascular health. The researcher will be expected to lead, build upon and advance this work in order to integrate various HER data sources and other omics database and build multi-type and multi-model AI solutions for risk prediction. Working with some of the largest and most comprehensive EHR, in the world, such as CPRD and UK Biobank as well as more niche “Omics” datasets, the project provides a unique opportunity to apply advanced techniques from machine learning and conduct high-impact research, while contributing to the broader goals of Deep Medicine. The objective of the project is to develop and enhance a range of Transformer- based models to predict the risk of key clinical outcomes, such as all-cause mortality and cardiovascular events and undertake subsequent analyses of the models for hypothesis generation in the context of MLTC. At the onset, the focus will be to develop robust AI models for prediction as compared to established benchmarks. The focus will then shift to explainability and association studies. The researcher is expected to take ownership of the project, propose novel methods, models and applications of ML/DL, write protocols for studies, present the ideas within the group, have advanced coding and data processing skills to execute the ideas in a timely manner and publish the results in high impact ML conferences and medical journals such as ICML, NeurIPS, Lancet, JAMA, BMJ, and Nature Machine Intelligence. As a senior researcher the holder of the position is expected work with other …
further particulars: 173110_Job Description for Post-Doctoral Research Associate in Machine Learning Machine Learning Scientist

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