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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Group by: Publication Date | Item type | No Grouping
Jump to: 2014
Number of items: 4.

2014

Gounaris, Spiros and Tzempelikos, Nektarios and Macdermott, Michael (2014) Implementing Key Account Management : key dimensions and outcomes. In: 43rd EMAC Annual Conference, 2014-06-03 - 2014-06-06.

Karantinou, Kalipso and Kaminakis, Kostas and Gounaris, Spiros (2014) A multilevel investigation into the impact of servicescapes on the service encounter. In: 43rd EMAC Annual Conference, 2014-06-03 - 2014-06-06.

Pantouvakis, Angelos and Gounaris, Spiros and Chatzipanagioti, Kalliopi (2014) Exploring effects of personal values on consumer evaluation of service quality : an empirical study. In: 43rd EMAC Annual Conference, 2014-06-03 - 2014-06-06. (In Press)

Chatzipanagioti, Kalliopi and Gounaris, Spiros and Pantouvakis, Angelos (2014) Adopting a relationship marketing approach in retailing services context in order to explain consumers' intention to re-purchase PLBs : a Fuzzy Set Qualitative Comparative Analysis approach. In: 43rd EMAC Annual Conference, 2014-06-03 - 2014-06-06.

This list was generated on Mon Jul 13 19:52:13 2020 BST.