NIHR CLAHRC North Thames is now recruiting to its 2019 PhD studentships. NIHR CLAHRC North Thames is funded to conduct high quality applied health research, focused on the needs of patients and the public to produce a direct impact on health and the way health care and public health is organised and delivered.
Led by Professor Rosalind Raine (UCL), we are a collaboration of 50+ partners, including leading universities, NHS trusts, local authorities, clinical commissioning groups, UCLPartners, industry and organisations representing patients and the public.
We invite applications for these 3-year PhD studentships starting October 2019 (exact date dependent on the individual university). Studentships will be based at one of the following Universities: London School of Hygiene and Tropical Medicine, Queen Mary University of London, University College London. Details of the individual projects and supervisors are given below. The studentships include a stipend and full UK/EU fees.
Read more about how to apply on this page;
https://clahrc-norththames.nihr.ac.uk/nihr-clahrc_north-thames-academy/phds/
The PHDs on offer are below:
CLAHRC Research area: Health Economics and Data
Developing and evaluating an online community of practice for public health decision-makers
CLAHRC Research area: Health Economics and Data
Addressing the polypharmacy challenge in working-age adults
CLAHRC Research Area: Multimorbidity
Optimising resources from the internet in primary care consultations
CLAHRC Research area: Innovation and Implementation Science
CLAHRC Research Area: Multimorbidity
Mapping Complex CAre Pathways for Personality Disorder (MACCA-PD)
CLAHRC Research area: Mental health
CLAHRC Research area: Mental health
Evaluating services for older adults with multimorbidity across health and social care
CLAHRC Research area: Multimorbidity
CLAHRC Research area: Mental health
Equity in service provision for people newly diagnosed with dementia and their family
CLAHRC Research area: Mental health
CLAHRC Research area: Innovation and Implementation Science