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Postdoctoral Researcher in Machine Learning and Cancer
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comment: The Nuffield Department of Women's & Reproductive Health is seeking a Postdoctoral Researcher in Machine Learning and Cancer to join Professor Christopher Yau's group at the Big Data Institute at the University of Oxford. The position is embedded within a research programme funded as part of a UKRI Turing AI Fellowship. The role will focus on the development of state-of-the- art machine learning approaches for the analysis of spatial sequencing data of cancers in collaboration with the Jamieson Group at the University of Glasgow. This is a unique opportunity to develop and apply AI to tackle key questions in cancer research, and is an ideal opportunity for a soon-to-complete or recent doctoral graduate seeking to switch disciplines into machine learning. An interest in biology or medicine is essential. The postholder should also be self-motivated, diligent and able to work individually or collaboratively. The successful candidate will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science, engineering) and possess experience of developing computational models. Please note: this post is fixed-term for 12 months but must end by 31st December 2025. The post is available from 1st October 2024. Applications for flexible working arrangements are welcomed and will be considered in line with business needs. You will be required to upload a CV and Supporting Statement as part of your online application. Click here for information and advice on writing an effective Supporting Statement. The closing date for applications is 12.00 noon on Monday 5th August 2024. Interviews will be held in mid-August.
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application closing date: 2024-08-05T12:00:00+01:00
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comment: The Nuffield Department of Women's & Reproductive Health is seeking a Postdoctoral Researcher in Machine Learning and Cancer to join Professor Christopher Yau's group at the Big Data Institute at the University of Oxford. The position is embedded within a research programme funded as part of a UKRI Turing AI Fellowship. The role will focus on the development of state-of-the-art machine learning approaches for the analysis of spatial sequencing data of cancers in collaboration with the Jamieson Group at the University of Glasgow. This is a unique opportunity to develop and apply AI to tackle key questions in cancer research, and is an ideal opportunity for a soon-to-complete or recent doctoral graduate seeking to switch disciplines into machine learning. An interest in biology or medicine is essential. The postholder should also be self-motivated, diligent and able to work individually or collaboratively. The successful candidate will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science, engineering) and possess experience of developing computational models. Please note: this post is fixed-term for 12 months but must end by 31st December 2025. The post is available from 1st October 2024. Applications for flexible working arrangements are welcomed and will be considered in line with business needs. You will be required to upload a CV and Supporting Statement as part of your online application. Click here for information and advice on writing an effective Supporting Statement. The closing date for applications is 12.00 noon on Monday 5th August 2024. Interviews will be held in mid-August.
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value: Job description and selection criteria Summary Job title Postdoctoral Researcher in Machine Learning and Cancer Division Medical Sciences Department Nuffield Department of Women’s & Reproductive Health Location Nuffield Department of Women’s & Reproductive Health, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, OX3 7LF Grade and salary Grade 7: £36,024 to £44,263 (with a discretionary range to £48,350) per annum Full time Hours Applications for flexible working arrangements are welcomed and will be considered in line with business needs. Contract type Fixed-term for 12 months. Reporting to Christopher Yau, Professor of Artificial Intelligence Vacancy reference 173663 Additional information Fixed-term for 12 months but must end by 31st December 2025. The post is available from 1st October 2024. The role We invite applications for the position of a Postdoctoral Researcher in Machine Learning and Cancer to join the research group of Professor Christopher Yau (http://cwcyau.github.io) which is based within the Big Data Institute at the University of Oxford. The position is embedded within a research programme funded as part of a UKRI Turing AI Fellowship (https://www.ukri.org/news/new-turing-ai-fellows-to-deliver-world-class-ai-research/). The role will focus on the development of state-of-the-art machine learning approaches for the analysis of spatial sequencing data of cancers in collaboration with the Jamieson Group at the University of Glasgow (https://www.spatiallab.org/our-team). This is a unique opportunity to develop and apply AI to tackle key questions in cancer research. This is an ideal opportunity for soon-to-complete or recent doctoral graduate seeking to switch disciplines into machine learning. An interest in biology or medicine is essential. You should be self-motivated, diligent and able to work individually or collaboratively. You will have a PhD in a quantitative subject (e.g. mathematics, physics, compute…

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