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health inequalities PhD Projects, Programs & Scholarships

We have 12 health inequalities PhD Projects, Programs & Scholarships

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  Promoting physical activity for people living with or beyond cancer: Using mixed-methods of health services research (evidence synthesis, qualitative research and a survey).
  Prof N Williams, Dr R Hill
Application Deadline: 1 November 2019

Funding Type

PhD Type

Background. There are over 2 million people in the UK living with or beyond cancer. The number of people diagnosed is increasing, but the number dying is decreasing, leading to more people surviving after a cancer diagnosis.
  Health PhD

Funding Type

PhD Type

Overview. As a PhD student in the Department for Health at Bath you will have hte opportunity to undertake original, in-depth research under expert supervision working in one of the top rated research Universities in the UK.
  Exploring health and health inequality impact of urban green and blue spaces using Data Science Techniques
  Dr G Morison, Prof S Chastin
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-013. 66% of the world now live in urban settings. Urbanisation is forecasted to keep growing putting ever increasing stress on resources and human well-being.
  Expanding the Evidence Base Through Inter-Sectoral Partnerships for Action on Health Equity
  Dr L D'Ambruoso, Prof I Theodossiou, Prof P Abbott
Applications accepted all year round

Funding Type

PhD Type

Described as the single most critical development failure of the past 30 years, the majority of births, deaths and causes of death in Africa and Asia are never recorded.
  Health and Social Care PhD Opportunities at School of Social Policy, Sociology and Social Research (SSPSSR)

Funding Type

PhD Type

 We are offering three 3-year PhD scholarships (full-time or 5 years part-time) to be based in the Centre for Health Services Studies (CHSS) and Personal Social Services Research Unit (PSSRU) in the School of Social Policy and Social Research (SSPSSR), University of Kent.
  Ethics, Integrity, Trust and Public Involvement in Big Data Management
  Prof L Frith, Prof I Buchan
Application Deadline: 21 November 2019

Funding Type

PhD Type

The aim of this project is to explore how we can develop good governance procedures for large, multi-source health data sets, by more thoroughly involving the community and reflecting community values.
  A Life Course Approach to Understand Clustering of Behavioural Risk Factors for NCDs in United Kingdom
  Dr M Mathur, Prof D Taylor-Robinson
Application Deadline: 9 November 2019

Funding Type

PhD Type

Non communicable diseases (NCDs) namely, cardiovascular diseases (CVDs), cancers, chronic respiratory diseases, diabetes and oral diseases are the leading causes of death and disability globally and impose a significant threat to human health and development.
  How can public support be fostered for controversial, but evidence-based, drug policies that will improve outcomes for stigmatised and marginalised groups?
  Dr H R Sumnall, Dr A Atkinson, Dr S Gage, Dr I Hamilton
Applications accepted all year round

Funding Type

PhD Type

The UK is currently facing some of the highest levels of deaths related to controlled drug use on record. People who use drugs (PWUD) also face other health and social harms related to their drug use, and because of the ways in which society chooses to respond to their drug use.
  Multimorbidity in people with musculoskeletal disorders
  Dr G Hendry, Prof M Steultjens, Dr S Smith
Applications accepted all year round

Funding Type

PhD Type

Project reference number. SHLS19015. Multimorbidity is a major national health priority. This is due to its high and rising prevalence, the complexity of care need, and demands on patients and practitioners for seeking and delivering care.
  Inequality, Health Beliefs, Networks and Inference: Exploring the Links Between Social Co-ordinates and Network Structure
  Prof N Jones
Applications accepted all year round

Funding Type

PhD Type

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics, Statistics, Electrical Engineering (BioMedical knowledge not required).
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