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  Methods for quantitative genetic analyses in autotetraploids
  Prof Z Luo
Applications accepted all year round

Funding Type

PhD Type

Methods for quantitative genetic analysis have been well established in almost all important diploid plants and animal including humans, and have served as essential tools for dissecting the genetic architectures underlying agronomically, evolutionarily and medically interesting quantitative and complex traits.
  Statistical and Molecular Genetics of Complex Traits
  Prof Z Luo
Applications accepted all year round

Funding Type

PhD Type

Most characters of any living organism are polygenically controlled and environmentally modified, including those threatening human health and those important in breeding for high yield, better quality and improved adaption of animals, plants and microbes.
  Statistical genetics and genomics of complex traits
  Dr L Leach, Prof Z Luo
Applications accepted all year round

Funding Type

PhD Type

A highly motivated student is sought to train as a statistical geneticist working on the dissection of complex trait phenotypes in human, plant and animal populations into their underlying genetic components.
  Adaptivity and machine learning techniques for PDE problems with uncertain inputs
  Dr A Bespalov
Applications accepted all year round

Funding Type

PhD Type

PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with parametric uncertainty in input data.
  The changing nature of UK flooding - MScR in Global Environmental Challenges
  Dr M Pregnolato, Prof T Wagener
Application Deadline: 1 August 2019

Funding Type

PhD Type

About the Project. In the last centuries, flooding has produced devastating societal and economic losses in the UK, as well as in other countries.
  Genomic basis of extra-group paternity in the cooperatively breeding Seychelles warbler
  Dr H L Dugdale
Applications accepted all year round

Funding Type

PhD Type

Indirect genetic benefits are hypothesised to drive the evolution of extra-group paternity (EGP), yet its genomic basis is unknown.
  Complex treatment by covariate interactions in network meta-analysis
  Dr S Donegan, Prof C Tudur Smith
Application Deadline: 1 September 2019

Funding Type

PhD Type

Project Description. For most diseases, many treatments exist. Network meta-analysis (NMA) can estimate the relative effects of all treatment pairings even when treatments are not compared in the same trial.
  Machine Learning approaches for robust analysis of complex systems
  Dr E Patelli
Applications accepted all year round

Funding Type

PhD Type

This position will close as soon as a suitable candidate has been found. The start date for this position is February 2019. Overview.
  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’.
  Robust Deep Time Series Model Selection for Effective Decision Support
  Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

Time series data consists of sampled data points taken over time. Time series modeling and prediction are one of the most fundamental problems and have been subject to intensive researches.
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