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Microbiology and ecology of microbes in our rivers - their niche distribution and functional implications

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

"The distributions of microorganisms in our rivers and their interactions play an important role to environment and human health. Microbial ecologists have been trying to understand the ""rules"" that govern their community assemblages in terms of species coexistence and competitive dynamics. While much progress has been made to the field of microbiology and techniques to understand details about the variation in community structure and composition in both space and time, we are still far from having a ""complete"" understanding in how microbial communities are structured, what functions they perform and how they change through time in this unique yet highly heterogenous ecosystem. Through this project, we seek to understand the roles played by some of the most ubiquitous yet less known microorganisms, and what impact and implications of anthropogenic activities have upon them. We will combine extensive lab techniques including conventional microbiology and culture-independent methods including Next Generation Sequencing (Illumina and Oxford Nanopore) as well as exploitting existing and novel computational methods to examine genetic contents and distribution of microbes in various environmental niches.

The project will be ideal for a graduate student with existing microbiology skills, who has an interest in collating theories and methods, and keen to learn/improve bioinformatics. When applying for this position please provide evidence of the following: Research experience/potential, academic training (degree class obtained or expected in BSc/MSc). Please do get in touch to discuss more about the project."

Funding Notes

Eligibility Details: Applicants should hold a minimum of a UK Honours Degree at 2:1 level or equivalent or a Masters degree in a relevant subject, such as Computer Science, Biological Sciences, Biochemistry, Molecular Biology, Biomedical Sciences, Genetics or Bioinformatics. Programming skills are essential.


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