Zahra Raisi-Estabragh
8 months ago
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Postdoctoral Research Positions in Big Data for Cardio-Oncology at Queen Mary University of London Queen Mary University of London in United Kingdom
Degree Level
Postdoc
Field of study
Epidemiology
Funding
The positions are funded by the Wellcome Trust as part of the 'Big Data for Cardio-Oncology' programme. No further details on stipend amount or tuition coverage are provided.
Deadline
Expired
Country
United Kingdom
University
Queen Mary University of London

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About this position
Applications are invited for two postdoctoral research positions within the interdisciplinary team at the William Harvey Research Institute, Queen Mary University of London. The successful candidates will contribute to the Wellcome Trust-funded 'Big Data for Cardio-Oncology' programme, which aims to advance understanding of cardiovascular health in cancer survivors. The research utilizes health record, biomarker, and imaging data from multiple large cohorts, offering a unique opportunity to work at the intersection of cardiology, oncology, and data science.
The project is led by Senior Clinical Lecturer and Consultant Cardiologist Zahra Raisi-Estabragh, and involves collaboration with a diverse team of experts. The ideal applicants will have a PhD in medical science, biology, statistics, or a related field, and experience with big data analysis, health records, biomarkers, or imaging data. Strong analytical and interdisciplinary research skills are highly valued.
The positions are fully funded by the Wellcome Trust, though specific details regarding stipend or salary are not provided in the announcement. The application deadline is 24 February 2026. For more information and to apply, candidates should consult the detailed position descriptions available via the provided LinkedIn links.
Funding details
The positions are funded by the Wellcome Trust as part of the 'Big Data for Cardio-Oncology' programme. No further details on stipend amount or tuition coverage are provided.
What's required
Applicants should have a PhD in a relevant field such as medical science, biology, statistics, or a related discipline. Experience with big data analysis, health records, biomarkers, or imaging data is highly desirable. Strong analytical and interdisciplinary research skills are preferred. No specific mention of language tests or GPA requirements.
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