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Social Science & Health PhD Projects, Programs & Scholarships in Manchester

We have 55 Social Science & Health PhD Projects, Programs & Scholarships in Manchester

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  (MRC DTP) That tablet gave me a terrible headache (SnomedCT: 25064002)
  Prof W Dixon, Dr G Nenadic, Dr C Jay
Application Deadline: 15 November 2019

Funding Type

PhD Type

Background. Healthcare mobile applications are used increasingly for self-reporting patient experience on living with (chronic) diseases and associated treatment.
  (MRC DTP) Characterising chronic pain experiences in children and young people with Juvenile Idiopathic Arthritis and chronic pain
  Dr L Cordingley, Prof W Thomson, Dr R Lee, Dr J McDonagh
Application Deadline: 15 November 2019

Funding Type

PhD Type

The proposed PhD will investigate pain in children and young people with musculoskeletal conditions, including Juvenile Idiopathic Arthritis (or JIA).
  (MRC DTP) Exploring therapeutic alliance for digital mental health
  Dr K Berry, Dr S Bucci
Application Deadline: 15 November 2019

Funding Type

PhD Type

It is well established that successful psychological therapies require the development of a therapeutic alliance (TA) between therapist and client based on the negotiation of shared treatment goals.
  Fluency and Context in Recognition Memory
  Dr J Taylor, Dr A Kafkas
Applications accepted all year round

Funding Type

PhD Type

This project relates to a sort of ‘memory illusion’. On a recognition memory test, increasing the perceptual fluency of a test cue increases the likelihood that the word will be endorsed as ‘familiar’, even if it hasn’t been seen in the study phase (and therefore should have been called ‘new’).
  The influence of agency and engagement with animals on conservation and welfare education in zoos
  Dr K Jensen, Dr S Shulltz
Applications accepted all year round

Funding Type

PhD Type

A defining role of zoos and museums is to educate visitors about animal welfare and conservation. One important aspect for the educational value of zoos and museums is the emotional connections visitors form.
  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.
  Modelling geographical variation in supply and demand influences on the use of health care in England
  Dr Laura Anselmi, Prof M Sutton
Applications accepted all year round

Funding Type

PhD Type

Understanding the drivers of geographic variation in health care expenditure and utilization is key in identifying needs for health care and planning equitably the distribution of health care supply.
  Evaluating the effect of child and maternal care policies on health care use and health in Low income settings
  Dr Laura Anselmi, Dr Ralitza Dimova
Applications accepted all year round

Funding Type

PhD Type

Improving child and maternal care and health has been a priority in low and middle countries for decades. Interventions have encompassed reorganization and financing of healthcare provision to increase service availability and have been evaluated in isolation to understand the impact on care use.
  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+.
  Join us at our postgraduate research open day on Wednesday 23rd October

Funding Type

PhD Type

 The University of Manchester will be hosting a postgraduate research open day on Wednesday 23rd October. This day is designed to introduce you to research student life at The University of Manchester and the broad range of doctoral and PhD opportunities available.
  Exploring therapeutic alliance for digital mental health
  Dr K Berry, Dr S Bucci
Applications accepted all year round

Funding Type

PhD Type

It is well established that successful psychological therapies require the development of a therapeutic alliance (TA) between therapist and client based on the negotiation of shared treatment goals.
  Understanding disease mechanisms in autoimmune inflammatory muscle disease
  Dr J Lamb, Dr H Chinoy
Applications accepted all year round

Funding Type

PhD Type

The idiopathic inflammatory myopathies are a spectrum of rare autoimmune disorders characterized by inflammation of muscle tissue (myositis), which leads to muscle weakness and fatigue, and heterogeneous systemic organ involvement.
  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.
  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.
  Establishing the reliability and validity of digital tools to collect patient generated data
  Dr J McBeth, Prof W Dixon
Applications accepted all year round

Funding Type

PhD Type

Background. The rise in consumer electronics ownership, such as smartphones and smartwatches, offers unique opportunities to collect granular subject-reported and passively collected research data via remote monitoring.
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