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.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2020 | 2017
Number of items: 3.

2020

Blair, E. O. and Buchoux, A. and Tsiamis, A. and Dunare, C. and Marland, J. R. K. and Gray, M. E. and Terry, J. G. and Smith, S. and Walton, A. J. (2020) Test structures for developing packaging for implantable sensors. IEEE Transactions on Semiconductor Manufacturing, 33 (2). pp. 224-231. ISSN 0894-6507

Marland, Jamie R.K. and Moore, Fiona and Dunare, Camelia and Tsiamis, Andreas and Gonzalez-Fernandez, Eva and Blair, Ewen O. and Smith, Stewart and Terry, Jonathan G. and Murray, Alan F. and Walton, Anthony J. (2020) Optimization of Nafion polymer electrolyte membrane design and microfabrication. IEEE Transactions on Semiconductor Manufacturing, 33 (2). pp. 196-201. ISSN 0894-6507

2017

Blair, Ewen and Corrigan, D.K. and Levene, H.J. and Schmueser, I. and Terry, J. G. and Smith, S. and Mount, A. R. and Walton, A. J. (2017) Improving the yield and lifetime of microfabricated sensors for harsh environments. IEEE Transactions on Semiconductor Manufacturing, 30 (3). pp. 192-200. ISSN 0894-6507

This list was generated on Fri Jul 10 14:38:34 2020 BST.