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University of Manchester Statistics PhD Projects, Programs & Scholarships

We have 31 University of Manchester Statistics PhD Projects, Programs & Scholarships

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  Funded Social Statistics PhD opportunities
We're committed to providing the facilities for you to conduct interdisciplinary social science research in a world-class research environment.
  (BBSRC DTP CASE) Applying – omics methods to map the circadian matrisome
  Dr J Swift, Dr Q-J Meng, Prof K E Kadler
Application Deadline: 31 January 2019
Circadian rhythm regulates and synchronises biological processes through a daily cycle. Molecular clocks in cells throughout the human body are entrained to a ‘master clock’ located in the hypothalamus, and cells in almost all tissues have been found to contain rhythmic genes.
  (BBSRC DTP) Mapping the structural and functional organisation of the human brain via in vivo neuroimaging and complex network analysis.
  Dr L Cloutman, Dr A Woollams
Application Deadline: 31 January 2019
The performance of the wide range of cognitive tasks we carry out in our daily lives including remembering, speaking, deciding and planning depends upon the interaction of complex networks of widely distributed brain regions.
  (BBSRC DTP) A new animal test of emotional cognition
  Dr J Gigg, Dr D Talmi, Prof J Neill
Application Deadline: 31 January 2019
This project will create and implement a new animal test for emotional biases in attention and memory that is more closely linked with the impact that emotion has on the same functions in humans.
  (BBSRC DTP) Integrative statistical inference methods for eukaryotic gene regulation with applications to embryonic stem cell differentiation
  Prof M Rattray, Dr I Iqbal, Prof A Sharrocks
Application Deadline: 31 January 2019
Embryonic stem cells (ESCs) can differentiate into different cell types through intermediary cell states and deeper understanding of the regulatory control underlying these differentiation stages is a very important topic in the study of mammalian development (Yang et al., 2014).
  (BBSRC DTP) The role of clock dysfunction in obesity-related inflammation and insulin resistance
  Dr D Bechtold, Dr S Cruickshank, Dr I Iqbal
Application Deadline: 31 January 2019
Obesity is one of the biggest challenges to public health in the UK and across much of the world. The major threat is in obesity-related metabolic disturbances, which drive insulin resistance, type-2 diabetes, and cardiovascular disease.
  (Turing) Can we use machine learning risk prediction models in diverse settings in the healthcare system?
  Prof T Van Staa, Dr N Geifman, Dr V Palin
Application Deadline: 31 January 2019
There is considerable potential to use routinely collected electronic health records (EHRs) to estimate the risks of major clinical outcomes (such as heart attack, mortality or hospital admission) which could then be used by clinicians to target treatment.
  (Turing) Individualised health-span prediction in large scale datasets using machine learning techniques
  Prof K Muir, Dr A Lophatananon
Application Deadline: 31 January 2019
One of the major determinants of healthy ageing is a lifestyle that includes regular exercise, a balanced diet and lack of chronic “stress”.
  Cardiovascular health in patients with inflammatory joint diseases: a genetic approach to understanding excess mortality
  Dr J Bowes, Prof A Barton
Applications accepted all year round
Patients with chronic inflammatory joint diseases, such as rheumatoid arthritis and psoriatic arthritis, have a higher prevalence of cardiovascular disease (CVD) which is the major contributory factor to the observed early mortality in these patient groups.
  Effective models for function-structure relationship in complex biological media
  Dr I Chernyaysky, Prof O Jensen, Dr E Johnstone
Applications accepted all year round
A complex multiscale relationship between the structure and function is common in many human organs (such as the lung, liver and placenta), and many diseases are associated with an imbalance in the relationship.
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