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Computational prospecting of bacteriophage genomes and prophages for biotechnologically and pharmaceutically relevant enzymes

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

Project Description

The number of bacteriophage genomes available in public databases keeps growing, but the problem of accurate prediction of functions of bacteriophage genes remains far from being solved. This computational project will involve the development and evaluation of protein structure prediction and machine learning based approaches for identification of bacteriophage genes involved in bacterial cell lysis.

Funding Notes

Applicants should have a 1st or 2.1 honours degree (or equivalent) in a relevant subject. Relevant subjects include Computer Science, Bioinformatics, Molecular Biology, Molecular Microbiology, Virology, Pharmacy, Pharmaceutical Sciences, Biochemistry, Biological/Biomedical Sciences, Chemistry, Engineering, or a closely related discipline. Students who have a 2.2 honours degree and a Master’s degree may also be considered, but the School reserves the right to shortlist for interview only those applicants who have demonstrated high academic attainment to date

How good is research at Queen’s University Belfast in Allied Health Professions, Dentistry, Nursing and Pharmacy?
Pharmacy

FTE Category A staff submitted: 33.00

Research output data provided by the Research Excellence Framework (REF)

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