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We have 576 health data PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
health data PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 576 health data PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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How do I feel? Explaining health data analysis through an artificial agent
You will research how an artificial agent can analyse and explain data patterns in user-collected health data. This will investigate how to build a trustworthy relationship between a user and an artificial agent. Read more
Secure AI-enhanced Policy Framework for Digital Health Data
This proposal is part of the Data-mdapps project which is a collaboration between Kingston University and the WHO European Office for the Prevention and Control of Noncommunicable Diseases (NCD Office) and focuses on addressing the challenges of developing a technical and security policy framework for digital health behavioural data processing. Read more
Oxford EPSRC Centre for Doctoral Training (CDT) in Health Data Science
The Oxford EPSRC CDT in Health Data Science offers a four-year doctoral programme in translational data science. Students learn core data science techniques. Read more
Improving diagnostic processes and therapeutic strategies in acute care
We are seeking talented, motivated students with a passion for clinically informed and clinically-based research using health data, studying as a PhD student affiliated with PIONEER, the Health Data Research Hub in acute care. Read more
Linking biodiversity with human health to inform the One Health Approach: statistical modeling of comprehensive open-access environmental and health datasets on the globe scale
Biodiversity refers to the variety of life on earth at all its levels, from genes to ecosystems, a key part of the nature system. Read more
In utero exposure to SARS-CoV-2 and adverse health outcomes amongst infants: enriching and utilizing a national, linked electronic health record resource
Since the onset of the COVID-19 pandemic, over 200 million infants have been born worldwide, of which a significant proportion will have been exposed to maternal SARS-CoV-2 infection in utero. Read more
Machine learning approaches in health data science for risk prediction of cardiovascular diseases
Cardiovascular disease is killing over 17 million people in the world. almost a third of the death from cardiovascular diseases occur suddenly without prior signs and symptoms or diagnosis of any heart conditions. Prediction and prevention of cardiovascular diseases are then a priority to prevent these deaths. Read more
Children’s Health in Care in Scotland (CHiCS): effects of maternal health, health behaviours and early childhood health on entering care.
Care experienced children deserve the chance to live healthy lives just as everyone else. In Scotland, about 15,000 children are in care every year and recent evidence across the UK shows that they have poorer health compared to other children, including higher mortality and avoidable hospitalisations. Read more
Lancaster University Faculty of Health & Medicine, Division of Health Research
100% of our research environment is judged to be world-leading (4*) in REF2021. The Division of Health Research (DHR) has an active research community comprising over 100 staff from a range of academic and applied backgrounds. Read more
Improving Child Health Globally: an interdisciplinary study to help elucidate complex determinants of child growth failure and related health outcomes in low and middle-income countries.
Malnutrition in children continues to be a significant global health concern, with almost one-half of all deaths in children under 5 years in low and middle-income countries (LMIC) attributable to malnutrition. Read more
Doing Time during Pandemic Times: An investigation of experiential time and quality of life related impacts of COVID-19 restricted measures on people living in prison and their families.
The Faculty of Health works collaboratively across a wide range of health disciplines with a research focus on some of the UKs most vulnerable populations. Read more
Realising the potential of data games to keep humans in the loop for the analysis of large and complex data sets in population health sciences
Population health science requires understanding a large and increasing amount of complex data, from complete human genomes and causal networks of the aetiology of disease, to open and unstructured data about community response to rapidly changing public health challenges. Read more
Obesity and health: what can primary care data tell us?
Obesity, measured by body mass index (BMI), is a fundamental determinant of health and a leading cause of morbidity and premature mortality globally. Read more
A decentralized, data driven health monitoring and diagnostics platform based on Artificial Intelligence (AI) and wearable/portable Internet of Medical Things (IoMT) sensors
Research Group:
Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Mahdi Maktabdar. Dr Lakshmi Babu Saheer. Read more
Machine learning, data science and mathematical modelling for global health and global environmental health
Global Environmental Health Research Group, School of Public Health, Imperial College London. 2023 – PhD studentship opportunities. Read more