Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Jump to: 2018 | 2016
Number of items: 3.

2018

Wilson, Kirsty L. and Murray, Jane and Jamieson, Craig and Watson, Allan J. B. (2018) Cyrene as a bio-based solvent for HATU mediated amide coupling. Organic and Biomolecular Chemistry (16). pp. 2851-2854. ISSN 1477-0520

2016

Wilson, Kirsty and Kennedy, Alan and Murray, Jane and Greatex, Ben and Jamieson, Craig and Watson, Allan (2016) Scope and limitations of a DMF bio-alternative within Sonogashira cross-coupling and Cacchi-type annulation. Beilstein Journal of Organic Chemistry, 12. pp. 2005-2011. ISSN 1860-5397

Seath, Ciaran P. and Wilson, Kirsty L. and Campbell, Angus and Mowat, Jenna M. and Watson, Allan J. B. (2016) Synthesis of 2-BMIDA 6,5-bicyclic heterocycles by Cu(I)/Pd(0)/Cu(II) cascade catalysis of 2-iodoaniline/phenols. Chemical Communications (56). pp. 8703-8706. ISSN 1359-7345

This list was generated on Sat Jul 4 12:16:55 2020 BST.