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Public Health & Epidemiology PhD Projects, Programs & Scholarships in Manchester

We have 36 Public Health & Epidemiology PhD Projects, Programs & Scholarships in Manchester

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  (MRC DTP) Can we use techniques such as machine learning to improve the risk prediction of infection-related complications in order to optimise antibiotic prescribing?
  Prof T Van Staa, Dr V Palin, Dr D Wong
Application Deadline: 15 November 2019

Funding Type

PhD Type

Antimicrobial resistance is a major public health concern and overuse of antibiotics is a major factor in its development. One strategic aim of the Government’s approach to minimise this is to conserve and steward the effectiveness of existing treatments by optimising antibiotic prescribing practices.
  Accurate energy evaluation of receptor-ligand interaction
  Prof P Popelier, Dr S De Visser
Applications accepted all year round

Funding Type

PhD Type

Drug design routinely uses existing computational methods to evaluate the interaction energy between receptor (protein) and ligand (drug) in molecular docking.
  (MRC DTP) Statistical machine learning approaches cross-cohort multi-omics data
  Prof M Rattray, Dr C Yau
Application Deadline: 15 November 2019

Funding Type

PhD Type

Multimorbidity refers to the co-existence of two or more chronic conditions in an individual and its prevalence is increasing due to aging populations.
  (MRC DTP) Incorporating causal inference in clinical prediction models
  Dr M Sperrin, Dr G P Martin, Dr H Guo
Application Deadline: 15 November 2019

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].
  (MRC DTP) Development of a software system to automatically detect and quantify foot collapse
  Dr Claudia Lindner, Prof T Cootes
Application Deadline: 15 November 2019

Funding Type

PhD Type

Charcot arthropathy is collapse of a joint secondary to peripheral neuropathy, most commonly secondary to diabetes or alcoholism.
  (MRC DTP) What is the best way for healthcare professionals to communicate changes in estimated risk of breast cancer?
  Prof D French, Prof Anthony Howell, Dr L McWilliams, Prof G Evans
Application Deadline: 15 November 2019

Funding Type

PhD Type

Risk estimation models for common multifactorial diseases such as breast cancer are often used, e.g. in Family History Clinics to inform decisions about prevention options.
  (MRC DTP) 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
Application Deadline: 15 November 2019

Funding Type

PhD Type

Osteoporosis is a common, degenerative skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality.
  (MRC DTP) Quantifying change in mammographic appearance using Artificial Intelligence
  Dr S Astley, Dr Yit Lim, Dr S Howell, Dr M Fergie
Application Deadline: 15 November 2019

Funding Type

PhD Type

Breast cancer is the most common cancer among women, with over 54,000 new cases diagnosed each year in the UK.
  (MRC DTP) Development of a risk model towards personalised screening for radiation-induced breast cancer using the national Breast Screening After Radiotherapy Dataset (BARD)
  Dr M Aznar, Dr S Howell, Dr S Astley, Prof J Radford
Application Deadline: 15 November 2019

Funding Type

PhD Type

Radiotherapy uses radiation (x-rays, protons) to kill cancer cells, and is an important part of cancer treatment for many patients.
  (MRC DTP) Predicting failure of methotrexate therapy in rheumatoid arthritis patients: statistical approaches to multiple outcomes and repeated observations
  Dr J Sergeant, Dr G P Martin, Prof K Hyrich, Dr S Verstappen
Application Deadline: 15 November 2019

Funding Type

PhD Type

Most patients with rheumatoid arthritis begin treatment with the drug methotrexate (MTX). MTX is cheap and is effective for many patients, but does not work for everyone.
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