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The University of Manchester, Faculty of Biology, Medicine and Health Public Health & Epidemiology PhD Projects, Programs & Scholarships

We have 19 The University of Manchester, Faculty of Biology, Medicine and Health Public Health & Epidemiology PhD Projects, Programs & Scholarships

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  (BBSRC DTP) Stress reactivity and social loss: the effects of adverse childhood experiences on neurobiology throughout the lifespan
  Dr N Muhlert, Prof R Elliott
Application Deadline: 31 January 2020

Funding Type

PhD Type

We are living in an ageing population. Roughly one in five people in the UK is aged over 65. As people live longer there is an increasing need to discover factors that promote healthy ageing.
  Advancing Methodology for Clinical Prediction
  Dr M Sperrin, Dr G P Martin
Applications accepted all year round

Funding Type

PhD Type

Clinical prediction models (CPMs) take what we know about a person and predict the probability of subsequent outcomes using a regression model or algorithm [1].
  An investigation of psychological and clinical factors associated with the development of chronic or persistent pain in children and young people with inflammatory and non-inflammatory musculoskeletal conditions.
  Dr L Cordingley, Prof W Thomson, Dr R Lee, Dr J McDonagh
Applications accepted all year round

Funding Type

PhD Type

Background. Juvenile Idiopathic Arthritis (JIA) is an inflammatory arthritis presenting in children and young people. Pain is one of the main features of JIA and it is often described as one of the most burdensome yet invisible symptoms of this long-term condition.
  Artificial Intelligence and Machine Learning to Improve the Effectiveness and Efficiency of Health Care
  Dr B Brown, Prof D Dowding
Applications accepted all year round

Funding Type

PhD Type

Artificial intelligence (AI) is widespread throughout commercial industries (think Google, Uber, Alexa, and Siri), but rarely used in health care settings.
  Computer-aided Detection of Osteoporotic Vertebral Fractures in Clinical Images Using Convolutional Neural Network Constrained Local Models (CNN-CLMs)
  Dr P Bromiley, Prof T Cootes, Dr EP Kariki
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common, degenerative skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality.
  Conversation analysis of health communication
  Dr S Speer
Applications accepted all year round

Funding Type

PhD Type

Good communication can enhance health outcomes. In order to optimise health communication in different settings it is important to understand what interactional techniques are used, and which techniques work well and less well.
  Developing a questionnaire to assesses patients’ experiences of audiology services
  Prof K Munro, Prof C Armitage
Applications accepted all year round

Funding Type

PhD Type

There is growing interest in measuring patients’ experiences of clinical services. This can be used to measure quality, evaluate quality improvement initiatives and compare services.
  Developing prognostic models in early psychosis through digital interventions
  Dr S Bucci, Dr G P Martin, Dr M Sperrin
Applications accepted all year round

Funding Type

PhD Type

Psychosis is a severe mental health problem characterised by unusual experiences such as hallucinations and persecutory beliefs; it is a major cause of distress, disability and personal and societal burden.
  Development of image analysis methods and software to study musculoskeletal diseases using artificial intelligence (AI)
  Dr Claudia Lindner, Prof T Cootes
Applications accepted all year round

Funding Type

PhD Type

Musculoskeletal (MSK) diseases affect an increasing number of the population globally. In the UK, on average 3 in 10 people are affected, which increases to 1 in 2 in the age group 65+.
  Digital manikins as a novel tool to measure self-reported pain in large-scale research studies
  Dr S Van der Veer, Prof W Dixon
Applications accepted all year round

Funding Type

PhD Type

Moderate to severe pain affects 1 in 5 adults. It is among the most prominent symptoms of musculoskeletal disease, and substantially affects the quality of life of people suffering from it.
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