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Bioinformatics (applied statistics) PhD Projects, Programs & Scholarships

We have 21 Bioinformatics (applied statistics) PhD Projects, Programs & Scholarships

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  PhD Studentship in the School of Mathematics, Statistics and Physics - Integrating palaeontological data in phylogenetic analysis – developing a principled statistical model for morphological evolution
  Dr TMW Nye
Application Deadline: 17 January 2020

Funding Type

PhD Type

Number of awards. 1. Start date and duration. The post is for 42 months. Successful applicants will start in or before September 2020.
  EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)

Funding Type

PhD Type

10 PhD studentships in Statistical Applied Mathematics at the University of Bath. EPSRC Centre for Doctoral Training in Mathematical Sciences.
  Optimising the efficiency of systematic reviews of diagnostic test accuracy studies
  Dr P Whiting
Application Deadline: 25 November 2019

Funding Type

PhD Type

Diagnostic test accuracy (DTA) systematic reviews (SR) provide the most reliable form of evidence for decision makers on the accuracy of a diagnostic test.(1) A full SR is extremely resource intensive, often taking months or years to complete.
  Is there a causal association between insulin signalling and myopia pathogenesis?
  Dr D Atan
Application Deadline: 1 December 2019

Funding Type

PhD Type

We are looking for an enthusiastic and talented graduate from a relevant biomedical or maths/statistics background, wishing to develop strong interdisciplinary skills at the interface of genetic epidemiology, medical statistics and ophthalmology for an exciting 3-year PhD opportunity funded by the National Eye Research Centre.
  Getting to grips with severe asthma - a whole population approach using routinely acquired data.
  Prof S Turner, Dr D Miller
Applications accepted all year round

Funding Type

PhD Type

There are 500,000 people in Scotland who have asthma. Asthma symptoms range from mild through moderate to severe. Severe asthma is not common but since it is associated with morbidity and mortality, severe asthma is a considerable burden to patients, society and the NHS.
  Learning from the past to predict and reduce the risk of infectious disease pandemics
  Dr F Perez-Reche, Prof N Strachan
Applications accepted all year round

Funding Type

PhD Type

The World Health Organisation reports that infectious diseases cause 63% of childhood deaths and 48% of premature deaths. There is the ongoing risk of epidemics and pandemics that can cause widespread morbidity and mortality (Spanish flu, ebola, SARS, E.
  Quantitative Risk Assessment for Food Safety (allergens, microbial pathogens or chemical contaminants)
  Prof N Strachan, Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

This project will use computational methods to assess risks. An expectation of the society we live in is that the food that we eat is safe.
  Statistical physics of DNA replication
  Dr A Moura, Prof C Romano
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to apply statistical physics and probability theory to the problem of DNA replication in living cells.
  Uncovering the (epi)Genomic regulation of cancer forming processes using integrative computational genomics and deep learning approaches
  Research Group: Dr Shamith Samarajiwa
  Dr S Samarajiwa
Application Deadline: 15 November 2019

Funding Type

PhD Type

Mutations in oncogenes and tumour suppressor genes, copy number changes and other genetic aberrations, together with anomalous epigenomic modifications all conspire to alter gene expression programmes, perturb normal cellular processes and promote tumour formation.
  Big Data driven treatments for Pulmonary Fibrosis
  Prof Gisli Jenkins
Applications accepted all year round

Funding Type

PhD Type

We invite applications for a 3-year PhD position, funded by the University of Nottingham to study ‘Big Data driven treatments for Pulmonary Fibrosis’.
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