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evolution PhD Projects, Programs & Scholarships

We have 324 evolution PhD Projects, Programs & Scholarships

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  (BBSRC DTP) Microbial population diversity as a driver of antibiotic resistance evolution
  Dr D Gifford, Dr C Knight, Dr T Gilman
Application Deadline: 31 January 2019
Classically, microbial evolution has been thought to progress via rapid sweeps of beneficial mutations that quickly fix within populations—the so-called ‘strong selection, weak mutation’ model.
  Experimental evolution of Pseudomonas aeruginosa in media replicating the conditions of the upper and lower airways
  Dr D Neill, Dr J Fothergill
Application Deadline: 20 January 2019
Pseudomonas aeruginosa (Pa) is an important bacterial pathogen in people with cystic fibrosis and other chronic lung conditions. During early infection, Pa adapts to the environment of the respiratory tract, leading to long-lasting, difficult to treat infections.
  Evolution of inbreeding mating systems in social species: theory on causes and consequences.
  Dr G Bocedi, Prof J Reid, Prof T Bilde
Application Deadline: 1 February 2019
This project aims at developing new spatially- and genetically-explicit theory to understand (1) evolution of inbreeding mating systems and associated sociality, and (2) its consequences for species adaptation to changing environments and evolutionary potential.
  Investigating the co-evolution of chromosome organisation and gene expression
  Dr M Farré Belmonte
Application Deadline: 1 February 2019
Our lab aims to study genome evolution and the genetic changes associated with individual and species differences, applying the newest comparative and functional genomic techniques and the great wealth of genomic data available.
  Efficient Co-Evolution of Software Architectures and Artificial Intelligence Components
  Dr J Ringert, Dr I Tyukin
Application Deadline: 21 January 2019
Artificial intelligence (AI) is pervading the world around us. It is the driving enabler for innovations and products from autonomous vehicles, to enhanced health care, to efficient crisis response, to simple things like recommending the right movie for inspiration.
  (BBSRC DTP) Evolution of discrete and continuous morphological characters
  Research Group: Ecology and Evolution
  Dr R Sansom, Dr R Garwood, Dr C Knight
Application Deadline: 31 January 2019
Advances in the acquisition and analysis of genetic sequence data have led to an increasing emphasis and reliance on molecular data to build phylogenies and test models of evolution, yet phenotypic evidence (morphology) remains vital.
  (MERI) Natural adaptation of extremophile microalgae to acid mine drainage environments through experimental evolution
  Research Group: Ecology and Evolution
  Dr J Pittman, Dr C Knight
Application Deadline: 6 February 2019
Pollution from waste-streams such as abandoned mine sites is a major environmental problem that has deleterious consequences for aquatic and terrestrial ecosystems throughout the world.
  (MERI) Environmentally-dependent mutation rates across evolutionary scales
  Research Group: Ecology and Evolution
  Dr C Knight, Dr D Gifford, Dr R Krašovec
Application Deadline: 6 February 2019
How natural selection depends on the environment has long been studied, but evolution relies on other mechanisms too. In particular, evolution depends on mutations.
  (BBSRC DTP) Design and Evolution of Enzymes with Non-Canonical Organocatalytic Mechanisms
  Dr A Green, Prof D Leys, Dr S Hay
Application Deadline: 31 January 2019
The project is firmly embedded at the interface of chemistry, biology and biophysics, a key driver for the BBSRC in the ‘Exploiting new ways of working’ agenda.
  (BBSRC DTP) Evolution in silico and in vitro: environmental change, mutation and space
  Research Group: Geoscience
  Dr R Garwood, Dr C Knight
Application Deadline: 31 January 2019
Understanding evolutionary processes requires an interplay between wet-lab experiment and computational simulation [1]. This project will use model systems for both to explore the interplay of evolutionary processes (primarily mutation) and the spatial environment.
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