This opportunity is based within Ruminant Population Health group at the School of Veterinary Medicine and Science which conducts cutting-edge research into the health and welfare of cattle and sheep focussing on endemic diseases.
Due to the multidisciplinary nature of this project, applicants are required to hold an undergraduate degree in either Bioinformatics, Biological Sciences, Computer Sciences, Statistics or related subject with at least a 2:1 or equivalent.
Antimicrobial resistance (AMR) is an increasing problem for animals and humans. An important approach to address AMR is to reduce drug resistance selection upon bacterial populations by reducing or changing antimicrobial (AM) usage.
For project description and full application procedures please go to. https://www.ed.ac.uk/roslin/postgraduate/studentships/genomics-based-epidemiology-of-the-bovine-mastitis-pathogen-streptococcus-uberis.
This project presents a unique and truly exciting opportunity to work in an exemplary inter-disciplinary team to develop new analytical methods for viral research, while making them accessible to scientists with little computational background.