At a Glance
- Tasks: Research and develop deep learning models to identify chronic diseases from EHR data.
- Company: Join the prestigious University of Oxford's AI for Digital Health Laboratory.
- Benefits: Gain valuable experience in a cutting-edge research environment with potential for extension.
- Other info: Collaborate with leading experts in a dynamic and innovative research setting.
- Why this job: Make a real difference in healthcare using advanced AI technologies.
- Qualifications: PhD in a related field and strong Python/machine learning skills required.
The predicted salary is between 35000 - 45000 £ per year.
University of Oxford's AI for Digital Health Laboratory invites applications for a full-time Postdoctoral Research Assistant in AI for Healthcare.
The NIHR-funded position is fixed-term for 12 months, with the possibility of extension.
Work on identifying chronic diseases from EHR data using state-of-the-art deep learning, under Prof Tingting Zhu and in collaboration with Prof Rafael Perera-Salazar.
A Ph D in a related field and strong Python/machine learning skills are required.
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Postdoctoral AI for Healthcare: EHR Deep Learning in Oxford employer: Corehr
Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.
