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EPSRC Support by Research Area (Biological Informatics) in Theme (Information and Communication Technologies)

Research areas are used to describe EPSRC's portfolio of excellent long term research and high quality postgraduate training.

Grants are classified using one or more research areas. The number and value of grants listed below reflects how the theme portfolio is described by this research area.

Please note: some research areas will appear under multiple themes. There is no unique, absolute, relationship between a research area and a theme.

Grant TitlePrincipal
Investigator
OrganisationDepartmentTotal Grant
Value (£)
A semi-autonomous robot synthetic biologist for industrial biodesign and manufacturingBaldwin, Dr GImperial College LondonLife Sciences 884,199
ACTION on CancerSoldatova, Dr LGoldsmiths CollegeComputing Department 476,570
ACTION on cancerKing, Professor RUniversity of Manchester, TheComputer Science 901,730
Closed-Loop Data Science for Complex, Computationally- and Data-Intensive AnalyticsMurray-Smith, Professor RUniversity of GlasgowSchool of Computing Science 3,055,465
Neuromorphic memristive circuits to simulate inhibitory and excitatory dynamics of neuron networks: from physiological similarities to deep learningSaveliev, Professor SLoughborough UniversityPhysics 965,568
Novel techniques for stochastic modelling of time-dependent multivariate relationships with application to primary visual cortexOnken, Dr AUniversity of EdinburghSch of Informatics 294,447
SIPHS: Semantic interpretation of personal health messages for generating public health summariesCollier, Dr NUniversity of CambridgeEnglish and Applied Linguistics 971,955
Synthetic Portabolomics: Leading the way at the crossroads of the Digital and the Bio EconomiesKrasnogor, Professor NNewcastle UniversitySch of Computing 4,353,851
The Parameter Optimisation Problem: Addressing a Key Challenge in Computational Systems BiologyFieldsend, Professor JUniversity of ExeterEngineering Computer Science and Maths 599,739
The Parameter Optimisation Problem: Addressing a Key Challenge in Computational Systems BiologyMillar, Professor AJUniversity of EdinburghSch of Biological Sciences 83,515
Using Epigenetically-Inspired Connectionist Models to Provide Transparency In The Modelling of Human Visceral LeismaniasisTurner, Dr AUniversity of HullComputer Science 90,691

Total Number of Grants: 11
Total Value of Grants: £12,677,727

The grant value may include the cost of access to facilities (these funds are not awarded to the grant holding organisation).