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We have 7 Epidemiology (programming) PhD Projects, Programmes & Scholarships

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Epidemiology (programming) PhD Projects, Programmes & Scholarships

We have 7 Epidemiology (programming) PhD Projects, Programmes & Scholarships

Last chance to apply

AI-enhanced dementia prevention: precision risk reduction using large language models, NIHR Funded PhD in Medical Studies Ref: 5100

Location. Department of Health and Community Sciences, St Luke’s Campus, Exeter. The University of Exeter’s Department of Health and Community Sciences is inviting applications for a PhD studentship funded by the NIHR to commence on the 23rd September 2024. Read more

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

PhD Studentship: Safer innovation

About us. The UCL Division of Surgery and Interventional Science (DSIS) is a collaborative and cross-disciplinary environment where clinicians, scientists, engineers, and allied health professionals are constantly striving for innovative approaches to treatment and evaluation. Read more

PhD Studentship: Safer innovation

About us. The UCL Division of Surgery and Interventional Science (DSIS) is a collaborative and cross-disciplinary environment where clinicians, scientists, engineers, and allied health professionals are constantly striving for innovative approaches to treatment and evaluation. Read more

Repurposing and enriching cardiovascular risk prediction model to identify people at risk of cancer – UCL (part of Health Data Research UK’s Big Data for Complex Disease Driver Programme)

Risk-stratified management of cardiovascular disease (CVD), where people without established disease receive preventative interventions and monitoring based on their 10-years predicted risk, has been highly successful to ensure healthcare resources are allocated to those most likely to benefit. Read more
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