This is a competition funded project through the NERC GW4+ DTP. There is a competitive selection process. This studentship will cover fees, stipend and research costs for UK students and UK residents for 3.5 years.
Applicants must have an excellent undergraduate or Masters degree (2:1 or first) in an area related to the project (e.g. Biology, Biochemistry, Biological Engineering). They must also be willing to work as part of a highly inter-disciplinaryteam and have a passion for learning the diverse skills needed to make this project a success (e.g. microbiology, synthetic biology, microscopy and machine learning).
1. Benton et al. (2007) Microcosm experiments can inform global ecological problems. Trends in Ecology and Evolution 22, 516-521.
2. Lunn et al. (2013) Modelling the Dynamics of an Experimental Host-Pathogen Microcosm within a Hierarchical Bayesian Framework. PLoS One 8, e69775.
3. Greco et al. (2019) Living computers powered by biochemistry. The Biochemist 41, 14-18.
4. Falk et al. (2019) U-Net: deep learning for cell counting, detection, and morphometry. Nature Methods 16, 67-70.
FTE Category A staff submitted: 64.60
Research output data provided by the Research Excellence Framework (REF)Click here to see the results for all UK universities