At a Glance
- Tasks: Support groundbreaking cardiovascular research using AI and data analysis.
- Company: Queen Mary University of London, a leader in biomedical research.
- Benefits: Gain hands-on experience, collaborate with experts, and enhance your skills.
- Other info: Join a diverse team and contribute to impactful research projects.
- Why this job: Make a real difference in healthcare by developing predictive models for heart conditions.
- Qualifications: Strong interest in data science and AI; relevant coursework or experience preferred.
The predicted salary is between 63000 - 77000 £ per year.
Queen Mary University of London seeks a data-focused researcher to support NIHR Barts Biomedical Research Centre projects, applying computational and AI approaches to cardiovascular research. You will prepare large-scale clinical/imaging datasets, build reproducible data pipelines, and develop AI-based risk prediction models for cardiomyopathies, hypertension, and inherited arrhythmias. You will work within a multidisciplinary team of clinicians, geneticists and data scientists, contributing to.
AI Research Assistant: Cardiovascular Data & Predictive Models in London employer: Queen Mary University of London
Queen Mary University of London is an exceptional employer, offering a vibrant work culture that champions diversity and innovation in higher education. With competitive salaries, generous leave, and extensive professional development opportunities, employees are supported in their growth while contributing to impactful educational initiatives. Located in the heart of London, the university provides a dynamic environment where technology-enhanced learning thrives, making it an ideal place for those passionate about advancing education through technology.
Contact Details:
Queen Mary University of London Recruitment Team
StudySmarter Expert Advice🤫
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